scholarly journals Learning lyapunov functions for hybrid systems

Author(s):  
Shaoru Chen ◽  
Mahyar Fazlyab ◽  
Manfred Morari ◽  
George J. Pappas ◽  
Victor M. Preciado
Author(s):  
Shaoru Chen ◽  
Mahyar Fazlyab ◽  
Manfred Morari ◽  
George J. Pappas ◽  
Victor M. Preciado

2007 ◽  
Vol 52 (7) ◽  
pp. 1264-1277 ◽  
Author(s):  
Chaohong Cai ◽  
Andrew R. Teel ◽  
Rafal Goebel

2021 ◽  
Author(s):  
Liangliang Li ◽  
Zhengwen Tu ◽  
Guanghui Zhou

Abstract This paper studies the problem for a class of state constrained impulsive nonlinear systems. Firstly, we establish two sufficient conditions for the stability of invariant sets of state constrained hybrid systems. Secondly, we construct the symmetric and asymmetric barrier Lyapunov functions, respectively. A feedback method is presented to solve the stabilization problem of constrained hybrid systems. Introduce the auxiliary matrix, combining with inductive method and linear matrix inequality theory, some sufficient conditions are obtained to ensure stability for state constrained hybrid dynamical networks by the attractive ellipsoid method approach. Finally, one example with simulations is given to validate the effectiveness of the proposed criteria.


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