Nash Equilibrium Seeking for Games in Second-order Systems without Velocity Measurement
Maojiao Ye, Jizhao Yin, Le Yin

TL;DR
This paper develops and analyzes velocity-free Nash equilibrium seeking strategies for second-order systems, using estimators and filters to handle unmeasurable velocities, with proven convergence and practical extensions.
Contribution
It introduces two novel velocity-free strategies for second-order games, employing observers and filters, with extensions to distributed networks and stability proofs.
Findings
Players' actions converge to Nash equilibrium
Velocities are driven to zero under the proposed strategies
Strategies are applicable to networked and distributed systems
Abstract
The design of Nash equilibrium seeking strategies for games in which the involved players are of second-order integrator-type dynamics is investigated in this paper. Noticing that velocity signals are usually noisy or not available for feedback control in practical engineering systems, this paper supposes that the velocity signals are not accessible for the players. To deal with the absence of velocity measurements, two estimators are designed, based on which Nash equilibrium seeking strategies are constructed. The first strategy is established by employing an observer, which has the same order as the players' dynamics, to estimate the unavailable system states (e.g., the players' velocities). The second strategy is designed based on a high-pass filter and is motivated by the incentive to reduce the order of the closed-loop system which in turn reduces the computation costs of the…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Nonlinear Dynamics and Pattern Formation · Extremum Seeking Control Systems
