Exact Boundary Controllability for Reduced System Associated to Extended Maxwell Systems
Maarten V. de Hoop, Ching-Lung Lin, Gen Nakamura

TL;DR
This paper establishes the exact boundary controllability for a reduced system linked to the extended Maxwell model in viscoelasticity, and applies it to control Boltzmann type viscoelastic systems.
Contribution
It proves the exact boundary controllability for the reduced system of the extended Maxwell model using a dissipative structure and Russell's principle, and demonstrates partial controllability for related viscoelastic systems.
Findings
Proves EBC for the reduced Maxwell system using dissipative structure.
Establishes partial boundary controllability for Boltzmann type viscoelastic systems.
Shows boundary control can steer system velocities to desired states.
Abstract
In the theory of viscoelasticity, an important class of models admits a representation in terms of springs and dashpots. Widely used members of this class are the Maxwell model and its extended version. The paper concerns about the exact boundary controllability (abbreviated by EBC) for the reduced system (abbreviated by RS) associated to the extended Maxwell model (EMM). The initial boundary value problem (abbreviated by IBP) with a mixed type boundary condition (abbreviated by MBC) in the absence of the exterior force is called the augmented system (abbreviated by AD system). Here, the MBC consists of a homogeneous displacement boundary condition and inhomogeneous traction boundary condition with a boundary control. The RS is a closed subsystem inside the AD system (see Section \ref{sec1} for the details of the EMM and the RS). For the RS, we consider the IBP for the associated AD…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsControl and Stability of Dynamical Systems · Stability and Controllability of Differential Equations · Advanced Mathematical Modeling in Engineering
