SYSYMar 20

Predictor-Feedback Stabilization of Linear Switched Systems with State-Dependent Switching and Input Delay

arXiv:2603.2002722.8h-index: 34
Predicted impact top 46% in SY · last 90 daysOriginality Incremental advance
AI Analysis

This work addresses stabilization challenges in systems like communication networks, but it is incremental as it extends predictor-feedback methods to a specific class of switched systems.

The paper tackles the problem of stabilizing linear switched systems with state-dependent switching and input delay by developing a predictor-feedback control design, resulting in uniform exponential stability validated through simulation.

We develop a predictor-feedback control design for a class of linear systems with state-dependent switching. The main ingredient of our design is a novel construction of an exact predictor state. Such a construction is possible as for a given, state-dependent switching rule, an implementable formula for the predictor state can be derived in a way analogous to the case of nonlinear systems with input delay. We establish uniform exponential stability of the corresponding closed-loop system via a novel construction of multiple Lyapunov functionals, relying on a backstepping transformation that we introduce. We validate our design in simulation considering a switching rule motivated by communication networks.

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