Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Convex Optimization
On Optimal Quadratic Regulation for Discrete-Time Switched Linear Systems
HSCC '08 Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control
Stability results for switched controller systems
Automatica (Journal of IFAC)
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This paper studies the exponential stabilization problem for discrete-time switched linear systems based on a control-Lyapunov function approach. A number of versions of converse control-Lyapunov function theorems are proved and their connections to the switched LQR problem are derived. It is shown that the system is exponentially stabilizable if and only if there exists a finite integer N such that the N -horizon value function of the switched LQR problem is a control-Lyapunov function. An efficient algorithm is also proposed which is guaranteed to yield a control-Lyapunov function and a stabilizing strategy whenever the system is exponentially stabilizable.