Invariance Pressure for Control Systems
Fritz Colonius, Alexandre J. Santana, Jo\~ao A. N. Cossich

TL;DR
This paper introduces the concept of invariance pressure for control systems, establishing its theoretical foundations, properties, and computation methods for linear systems, enhancing understanding of control invariance measures.
Contribution
It defines invariance pressure using control weights, proves equivalence between different formulations, and computes it for linear systems, advancing control theory.
Findings
Invariance pressure is equivalent when based on spanning sets or invariant open covers.
Properties of invariance pressure are systematically derived.
Invariance pressure is explicitly computed for a class of linear systems.
Abstract
Notions of invariance pressure for control systems are introduced based on weights for the control values. The equivalence is shown between inner invariance pressure based on spanning sets of controls and on invariant open covers, respectively. Furthermore, a number of properties of invariance pressure are derived and it is computed for a class of linear systems.
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Invariance Pressure for Control Systems
Fritz Colonius
Institut für Mathematik, Universität Augsburg, Augsburg, Germany
Alexandre J. Santana and João A. N. Cossich
Departamento de Matemática, Universidade Estadual de Maringá
Maringá, Brazil
**Abstract: **Notions of invariance pressure for control systems are introduced based on weights for the control values. The equivalence is shown between inner invariance pressure based on spanning sets of controls and on invariant open covers, respectively. Furthermore, a number of properties of invariance pressure are derived and it is computed for a class of linear systems.
Key words: invariance pressure, invariance entropy, control systems, invariant covers, feedbacks
1 Introduction
This paper extends the notion of invariance entropy for discrete-time and continuous-time control systems to a notion of invariance pressure and discuss some of its properties. Invariance entropy (and feedback invariance entropy) indicates the amount of “information” necessary in order to make a subset of the state space invariant, and is closely related to minimal data rates. Basic references are the seminal paper Nair, Evans, Mareels and Moran [7] and the monograph Kawan [6]. Further studies of invariance entropy include Da Silva and Kawan [4] for hyperbolic control sets, Da Silva [3] for linear control systems on Lie groups and Colonius, Fukuoka and Santana [1] for topological semigroups.
Invariance entropy is modeled with some analogy to topological entropy of dynamical systems. A generalization of the latter notion is topological pressure of dynamical systems where a potential function gives weights to the points in the state space, cf., e.g., Walters [9], Viana and Oliveira [8] or Katok and Hasselblatt [5]. We will construct a notion of invariance pressure that analogously is based on weights for the control values.
The main result is the equivalence between the inner invariance pressure based on spanning sets of controls, and on invariant open covers (see Theorem 11). Furthermore, a number of properties of invariance pressure are derived which are analogous to properties of topological pressure for dynamical systems. Here, however, no full analogy should be expected, since no notion of separated sets of controls is available. While inner invariance pressure, as discussed in detail here, is a generalization of inner invariance entropy, we indicate how also other notions of invariance entropy, in particular, outer invariance entropy, can be generalized. Furthermore, some properties of invariance entropy for continuous-time control systems are also derived and the invariance pressure for a class of linear systems is computed.
The contents of this paper is as follows. Section 2 constructs inner invariance pressure based on spanning sets of controls and on invariant open covers and shows that they are equivalent. Section 3 proves a number of properties of inner invariance pressure and indicates variants based on different technical conditions. Finally, Section 4 analyzes invariance pressure for continuous-time control systems and computes the invariance pressure for a class of linear systems.
2 Invariance pressure for discrete-time systems
In this section we introduce the notion of invariance pressure for discrete-time control systems. Then a feedback version is defined and it is shown that these two notions are equivalent.
The considered class of discrete-time control systems have the form
[TABLE]
where and is a metric space and is a topological space. We assume that is continuous for every . Define as the set of all sequences of elements in the control range . We endow which is the set of control sequences with the product topology. Sometimes, we will assume that the set of control values is a compact metric space, implying that also is a compact metrizable space. The shift on is defined by . For and the corresponding solution of (1) will be denoted by
[TABLE]
Where convenient, we also write . By induction, one sees that this map is continuous. Observe also that this is a cocycle associated with the dynamical system on given by
[TABLE]
We note the following property which is of independent interest (it is not used in the following).
Proposition 1
The shift is continuous and, if is continuous, then is a continuous dynamical system.
Proof. Continuity of follows since the sets of the form
[TABLE]
with open for all and form a subbasis of the product topology and the preimages
[TABLE]
are open. If is continuous, then induction shows that is continuous in for all .
Throughout the text, we will consider a compact set and denote by the set of all continuous function . We suppose that the set is strongly invariant in the sense that for all there is with . Clearly, this means that for all there is with for all . We are interested in the minimal information to make strongly invariant.
Remark 2
At the end of Section 3 we will comment on possibilities to relax the property of strong invariance.
2.1 Inner invariance pressure
The definition of inner invariance pressure will require the following notion from Kawan [6, p. 76].
Definition 3
Let a compact set with nonempty interior and . We say that a subset is a strongly -spanning set if for each there is such that for .
The minimal cardinality of such a set is denoted by , and [6, p. 76] defines the inner invariance entropy of by
[TABLE]
In order to construct the inner invariance pressure of control systems let for
[TABLE]
and
[TABLE]
Definition 4
For a discrete-time control system of the form (1), a strongly invariant compact set and consider
[TABLE]
The inner invariance pressure in is the map .
This definition deserves several comments. First observe that for .
If is the null function in , then , hence
[TABLE]
Taking the logarithm, dividing by and letting tend to one finds that . Hence the inner invariance pressure generalizes the inner invariance entropy.
Next we show that it is sufficient to consider finite spanning sets. More precisely, the following holds.
Proposition 5
For a strongly invariant compact set and it suffices to taken in the definition of the infimum over all finite strongly -spanning sets.
Proof. First we show for a strongly -spanning set there exists a finite strongly -spanning set . In fact, take an arbitrary . Since is strongly -spanning, there is with for . By continuity, we find open neighborhoods of such that , for all . The sets , form an open cover of . By compactness of there are finitely such that . Then is strongly -spanning.
To conclude the proof, set
[TABLE]
It is clear that . For the reverse inequality, let be strongly -spanning. Then, as shown above, there is a finite strongly -spanning subset . Hence
[TABLE]
implying that and then equality is proved.
Based on this result, in the following we will only consider finite spanning sets. We still have to show that the limit in (2) actually exists.
Proposition 6
For , the following limit exists and satisfies
[TABLE]
Proof. This follows by a standard lemma in this context (cf., e.g., Walters [9, Theorem 4.9] or Kawan [6, Lemma B.3]), if we can show that the sequence , is subadditive. Let be an strongly -spanning set and a strongly -spanning set. Then define control sequences of length by
[TABLE]
for each and . We claim that the set of these control sequences is strongly -spanning. In fact, for there exist such that
[TABLE]
Since and is strongly -spanning, there is a such that
[TABLE]
This shows the claim. Furthermore, for all and
[TABLE]
Hence and the subadditivity property follows proving the assertion.
The following example illustrates the definition of invariance pressure in a simple case.
Example 7
Assume that is bounded below (which, naturally, holds, if is compact) and that , that is, the system always enters the interior of when starting in . We show that . Since for every strongly -spanning set the estimate
[TABLE]
holds, it follows that . Conversely, our assumption implies that for there exists with
[TABLE]
Then the one-point set , where , is strongly -spanning and
[TABLE]
Taking the infimum over all strongly -spanning sets one finds that the invariance pressure satisfies
[TABLE]
Since is arbitrary, it follows that .
2.2 Topological feedback pressure
Next we introduce a notion of invariance pressure based on feedbacks and show that it coincides with the invariance pressure defined above.
Open covers in entropy theory of dynamical systems are replaced in case of control systems by invariant open covers, introduced in Nair et al. [7]. For control systems of the form (1) they have the following form.
Definition 8
For a compact subset an invariant open cover is given by , a finite open cover of and a map assigning to each set in a control function such that for all .
Here may be considered as a feedback when applied to the elements of . Let be an invariant open cover. For any sequence , we have the control sequence
[TABLE]
that is,
[TABLE]
Then we can define, for each , the set
[TABLE]
Observe that is open in and that the control is uniquely determined by , but not necessarily by the set . For each , letting run through all sequences of elements in , the family
[TABLE]
is a finite open cover of . Here, and in the following, it is used tacitly that only the first elements of are relevant.
We say that a set of controls of the form
[TABLE]
is a generating set of feedback controls (of length ) for the invariant open cover , if the sets , form a subcover of which is minimal in the sense that none of its elements may be omitted in order to cover . (Its number of elements needs not be minimal among all subcovers.) Hence and the number of elements in the index set is bounded by .
Define for
[TABLE]
and set
[TABLE]
Definition 9
Consider a discrete-time control system of the form (1), a strongly invariant compact set and . For an invariant open cover , put
[TABLE]
and
[TABLE]
The invariance feedback pressure is the map
Here are several comments on this definition. If is the null function in , then
[TABLE]
hence
[TABLE]
where denotes the minimal number of elements in a subcover of . Hence one finds that the strong topological feedback entropy of (as defined in Kawan [6, p. 70]) satisfies
[TABLE]
and so the strong topological feedback entropy of system (1) satisfies
[TABLE]
Hence the invariance feedback pressure is a generalization of the strong topological feedback entropy.
The following lemma provides the remaining proof that the limit in (5) actually exists.
Lemma 10
If and is an invariant open cover of , then the following limit exists and satisfies
[TABLE]
Proof. The assertions will follow from Walters [9, Theorem 4.9] if the sequence , is subadditive. This will be shown by constructing a generating set from generating sets and with the desired properties.
Let and be generating sets of feedback controls. Here and are given by sequences of sets in in the form and . Then define for all and sequences in by
[TABLE]
If we denote by the th element of , then
[TABLE]
Claim: The set
[TABLE]
contains a generating set of feedback controls.
First note that by the cocycle property one finds for
[TABLE]
and hence
[TABLE]
Thus for all and
[TABLE]
In fact,
[TABLE]
Clearly the sets are elements of . It follows from (7) that they cover , since this is valid for the families and . Hence the collection in (6) is a subcover of and one finds in the family (6) an associated generating set of feedback controls which we denote by . Thus the Claim is proved.
In order to show subadditivity of the sequence , note that for all
[TABLE]
Since and are arbitrary it follows that . This implies the required subadditivity concluding the proof.
Next we show that this feedback invariance pressure coincides with the inner invariance pressure introduced in Definition 4. This generalizes a result for invariance entropy from Colonius, Kawan and Nair [2].
Theorem 11
If and is a strongly invariant compact subset of , then
[TABLE]
Proof. First we prove the inequality . Let be an invariant open cover. Then for , every generating set of controls for is a strongly -spanning set and hence
[TABLE]
where the infimum is taken over all strongly -spanning set . It follows that and therefore
[TABLE]
Since this holds for every invariant open cover , we conclude
[TABLE]
where the infimum is taken over all invariant open covers of .
To show that we construct an invariant open cover for . Let be a strongly -spanning set. For each consider
[TABLE]
The set forms a finite open cover of . Now define a map by
[TABLE]
Clearly, is an invariant open cover of .
Recall that defines a control and for the set is given by (4),
[TABLE]
These sets form on open cover of . Consider a generating set of feedback controls of the form
[TABLE]
hence the sets , form a subcover of which is minimal. Therefore
[TABLE]
Since the previous inequality holds for all finite strongly -spanning sets , it follows that for all . Hence
[TABLE]
Using Proposition 6 we conclude that
[TABLE]
3 Properties of the invariance pressure
In this section, we collect several properties of invariance pressure which are analogous to properties of topological pressure for dynamical systems. Furthermore, we discuss some alternative versions of invariance pressure.
We start with the following technical lemma which will be used in the proof of Proposition 13.
Lemma 12
Let , be real numbers. Then
[TABLE]
Proof. Let . Then we may assume that . Dividing numerator and denominator by one can further assume that , hence the assumption takes the form and the assertion reduces to . This is equivalent to
[TABLE]
which is our assumption. The induction step from to follows since
[TABLE]
Proposition 13
Consider a discrete-time control system of the form (1), let be a compact strongly invariant subset and let and . Then the following assertions hold:
(i) if , then .
(ii) .
(iii) If is compact, then .
Proof. (i) If , it follows that for all -spanning sets , because the exponential function is increasing. Hence and so .
(ii) One finds that
[TABLE]
hence
[TABLE]
(iii) Recall that for and the infimum is taken over all strongly -spanning sets . Thus, using Lemma 12 for the second inequality below, one finds
[TABLE]
Therefore and so
[TABLE]
Interchanging the roles of and one finds assertion (iii).
Next we discuss changes in the considered set .
Proposition 14
Let and a compact strongly invariant set. Assume that with compact strongly invariant sets . Then
[TABLE]
Proof. For every , let a strongly -spanning set and define . Then is a strongly -spanning set with
[TABLE]
With
[TABLE]
we have . Now Kawan [6, Lemma 2.1] implies that
[TABLE]
Consider two control systems of the form (1) given by
[TABLE]
in and with corresponding solutions and and control spaces and corresponding to control ranges and , respectively. Then
[TABLE]
with , , , again is a control system of the form (1) in with control space and solution ,
[TABLE]
Proposition 15
Let and let be compact strongly invariant sets for the control systems in (8), . Then
[TABLE]
where is defined by .
Proof. Note that is a compact strongly invariant set. Furthermore, if is a strongly -spanning set for , , then is a strongly -spanning set and
[TABLE]
Since and are arbitrary, we obtain
[TABLE]
Therefore
[TABLE]
Next we show that the inner invariance pressure is invariant under appropriate conjugacies. Again, consider two control systems as in (8). A pair of maps is called a skew conjugacy if and are homeomorphisms such that
[TABLE]
Note that this induces a map such that for all and the solutions satisfy
[TABLE]
Clearly, skew conjugacy is an equivalence relation.
Theorem 16
Using the above notation, assume that is a skew conjugacy between these two systems, and let and suppose that is strongly invariant. Then is strongly invariant in and the inner invariance pressure satisfies
[TABLE]
Proof. The set is compact by continuity of . In order to see that it is strongly invariant, write with . By strong invariance of there is with . Since is an open map, the conjugacy condition implies for all .
[TABLE]
If is a strongly -spanning set, then is a strongly -spanning set: In fact, for there is with , , therefore (10) implies
[TABLE]
The same arguments show that for a strongly -spanning set the set is strongly -spanning. Note also that . Hence
[TABLE]
and it follows that , and , as claimed.
Next we prove the power rule for inner invariance pressure. Consider a control system of the form (1) with compact strongly invariant set . Suppose we take steps at once. Then, naturally, the solution may be in while there may exist with . Hence, for a power rule in invariance problems of discrete-time systems one has to exclude this a-priori.
Starting from control system (1) define the following control system. Given , the control range is and the set of corresponding controls is denoted by . Then a bijective relation between the controls in and in is given by
[TABLE]
The solutions will be given by and for
[TABLE]
Then, these are the solutions of a control system of the form
[TABLE]
and the solutions can be written as
[TABLE]
As argued above, in the definition of the strong invariance pressure of system (11) we only consider solutions which remain in for all times between the steps of length .
Proposition 17
In the above setting we denote by the inner invariance pressure of (11). Then for every
[TABLE]
where is given by .
Proof. If is a strongly -spanning set for (1), then is a strongly -spanning set for (11). Analogously, if is a strongly -spanning set for (11), then is a strongly -spanning set for (1). Therefore
[TABLE]
We denote
[TABLE]
where the infimum is taken over all the strongly -spanning sets for (11). Then and so
[TABLE]
The following simple example illustrates inner invariance pressure. A more elaborate case will be discussed in the next section in the framework of outer invariance pressure for continuous-time systems.
Example 18
Consider a scalar linear system of the form
[TABLE]
with and let , where is small. Let be given by . We claim that , where the equality for the inner invariance entropy of has been shown in Colonius, Kawan and Nair [2, Example 3.2].
In order to show , consider for a finite strongly -spanning set . For define
[TABLE]
Then and hence the Lebesgue measure satisfies . Furthermore, for we have
[TABLE]
which implies that . Thus
[TABLE]
and hence . Since , it follows that
[TABLE]
and hence
[TABLE]
In order to prove , we use that the inner invariance entropy is given by . If a solution with and control values satisfies for
[TABLE]
then it follows for every that for all and
[TABLE]
Hence the solution keeps the initial point with control values in . Observe that .
Take . Then for there are and with such that
[TABLE]
This is seen as follows. If , we can make a step to the left of of length where is arbitrary. In fact, using the control value one obtains for that
[TABLE]
Similarly, for , one computes and hence, by continuity, one can make steps of length to the left.
Analogously for one can make steps to the right.
Going several steps, if necessary, one can reach the interval from each point of .
By the arguments above we know that we can stay in the interval . Together we have shown that there is a time such that for every there is a control with . By continuity, there are finitely many controls such that for every there is with .
Now choose a finite -spanning set with minimal cardinality . This yields the set of controls with values in which keep every element in . Concatenations of the controls in with the controls yields an -spanning set with cardinality . For , the controls in have values in , hence here.
We compute for
[TABLE]
This yields
[TABLE]
and hence
[TABLE]
Since for large enough it follows that which implies , since is arbitrary.
As announced in Remark 2, we conclude this section with some comments on other versions of invariance pressure that can be constructed in analogy to versions of invariance entropy, cf. Kawan [6].
Call a pair of nonempty subsets of admissible for control system (1), if is compact and for each there is such that for all . Then for a subset is called -spanning if for all there is with for . For define
[TABLE]
Then one can define the invariance pressure as
[TABLE]
Another version of invariance pressure can be defined as follows. For , the -neighborhood of is the set there is with . Given a closed set , and , a set is called -spanning, if for all there is with for all . For define
[TABLE]
and
[TABLE]
Then we define the outer invariance pressure as
[TABLE]
Clearly, .
4 Invariance pressure of continuous-time systems
In this section we discuss invariance pressure for control systems given by ordinary differential equation and show that it can be characterized using discretized time. Then we will derive a formula for the outer invariance pressure of linear control systems.
Throughout we assume that is a -dimensional smooth manifold, is Borel measurable and \mathcal{U}=\{\omega:\mathbb{R}\rightarrow U;\Lebesgue integrable. Consider the continuous-time control system
[TABLE]
where is continuous, is the tangent bundle and for each the map is a vector field. We assume that is compact and that for all and a unique solution , exists. Furthermore, we assume that is controlled invariant, i.e., for every there exists such that for all .
In analogy to the discrete-time case, we call a subset a -spanning set, if and for all , there exists such that for all .
For and define and
[TABLE]
The central definition is the following.
Definition 19
The invariance pressure in of for the control system (12) is
[TABLE]
and the invariance pressure of (12) is the map .
The next theorem shows that for the invariance pressure the time may be discretized.
Theorem 20
If is compact, then the invariance pressure of system (12) satisfies for every
[TABLE]
Proof. For every , the inequality
[TABLE]
is obvious. For the converse note that the function is nonnegative (if , it is not necessary to consider the function ). Let , and . Then for every there exists such that and for . Since it follows that
[TABLE]
and consequently
[TABLE]
This yields
[TABLE]
Since
[TABLE]
and for , we obtain
[TABLE]
This shows that
[TABLE]
and as in Proposition 13 (ii) we have
[TABLE]
The above result can be rephrased in the following form. Define the invariance pressure at time of system (12) by
[TABLE]
where
[TABLE]
Corollary 21
If is compact, then the invariance pressure of system (12) satisfies
[TABLE]
Remark 22
Compactness of has been used in the proof of Theorem 20 only in order to guarantee that for every . Thus the property in (13) holds for arbitrary if the considered functions are bounded below.
Next we determine the outer invariance pressure for a class of problems with linear control systems. For a control system of the form (12) the outer invariance entropy is defined as follows (cf. Kawan [6, p. 44]). The -neighborhood of be denoted by there is with .
Given a closed set , and , a set is called -spanning, if for all there is with for all . Denote by denote the minimal number of elements that a -spanning set can have and
[TABLE]
Definition 23
The outer invariance entropy of a closed subset is defined by
[TABLE]
It is obvious that .
We consider linear control systems of the form
[TABLE]
where and with .
The following result is a consequence of Kawan [6, Theorem 3.1 and its proof].
Theorem 24
Suppose that is a compact controlled invariant set for system (15) with . Then
[TABLE]
where summation is over all eigenvalues of . Furthermore, the same result holds if in the definition of the outer invariance entropy the limit superior in the definition (14) of is replaced by the limit inferior.
Remark 25
The existence of a compact controlled invariant set with nonempty interior can be guaranteed if the matrix pair is controllable (i.e., ) and the matrix is hyperbolic (i.e., it has no eigenvalues on the imaginary axis).
Theorem 24 will be used to prove a theorem on outer invariance pressure which we define in the following way. For the general system (12), and let
[TABLE]
Definition 26
For the outer invariance pressure in is defined by and the outer invariance pressure of the control system (12) is the map .
We get the following formula for the outer invariance pressure of linear systems.
Theorem 27
Consider the linear control system (15) with compact convex control range . Let be compact and let be a map such that there are and with and (i.e., is an equilibrium for ), and assume that there is such that for every there are and with
[TABLE]
Then the outer invariance pressure is
[TABLE]
where summation is over all eigenvalues of .
Proof. Note that our assumption on implies that is controlled invariant. Then the second equality in (17) is an immediate consequence of Theorem 24. We will prove the first equality in (17) in three steps.
Step 1: First we will simplify the assertion. Define on . Then for all , hence . Consider the control system
[TABLE]
A trajectory of (15) determines a trajectory of (18) (here is identified with the corresponding constant control function) and conversely, since
[TABLE]
Thus implies that . The controllability condition for (15) implies that for every
[TABLE]
Furthermore, since . It follows that the -spanning sets of system (15) give rise to -spanning sets of system (18) and conversely. Then it follows that the outer invariance pressure of system (15) coincides with the outer invariance pressure of system (18).
These considerations imply that without loss of generality, we can assume that and that is a compact set with such that for every there are and with
[TABLE]
and that with (we just write instead of , instead of and instead of ).
Then, using the same arguments as in the proof of Proposition 13(ii), we find that
[TABLE]
Hence we can further assume without loss of generality that . Then the claim takes the form .
Step 2: Next we show . Clearly, it is sufficient to show for all that . Using (16) together with the fact that [math] is an equilibrium, one finds that for every and every that there is a control with and for all . By uniform continuity in there is a neighborhood of such that for every in this neighborhood one has
[TABLE]
Then compactness of implies that there is a finite -spanning set.
Let . Then for arbitrarily large one finds a finite -spanning set with
[TABLE]
Since is -spanning, it follows that and, by assumption we also know that for all . This implies for arbitrarily large , that
[TABLE]
For it follows that
[TABLE]
Since is arbitrary, it follows that this inequality also holds for . For , this yields
[TABLE]
The last equality follows by the additional property stated in Theorem 24.
Step 3: Finally we show . Fix . The assertion will follow if we can show that for every
[TABLE]
The strategy will be similar as in Example 18: Every point in is steered into a small neighborhood of and kept there by a spanning set constructed using linearity of the system equation.
Take . Since there is such that the -ball around [math] with radius is contained in . We may choose small enough such that implies . The variation-of-constants formula shows that for every trajectory of system (15) satisfies
[TABLE]
Take small enough such that in and in . Then the controls take values in which is a subset of by convexity of . Note also that implies .
As in Step 2, there is for every a control with
[TABLE]
By uniform continuity on one finds for all in a neighborhood of that
[TABLE]
Then compactness of implies that there are finitely many controls such that for every there is with
[TABLE]
Thus we have found finitely many controls steering every point in into . Next we construct controls keeping every point in the ball in the -neighborhood of (on arbitrarily large time intervals).
Fix and let be a -spanning set with . Then it follows that is -spanning. The controls take values in . Obviously, .
The concatenations of the controls with the controls in are given for and by
[TABLE]
Now consider . Then the set
[TABLE]
is -spanning. This follows, since implies by (19) that all points . On the interval each control only takes values in , hence here. We have and compute for
[TABLE]
This yields
[TABLE]
Note that
[TABLE]
Let such that for
[TABLE]
For large enough
[TABLE]
hence it follows that
[TABLE]
Since is arbitrary, this implies and the proof is complete.
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- 2[2] F. Colonius, C. Kawan, and G. Nair , A note on topological feedback entropy and invariance entropy , Systems and Control Letters, 62 (2013), pp. 377–381.
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