1 citations · 1 across the 5 of their papers we have counts for
7 papers
Data-driven control of linear systems using quantized data
Zhenghao Li, Guosong Yang
This paper studies data-driven stabilization of unknown discrete-time linear systems using only quantized state measurements that take values in finite sets. The proposed approach…
Input-to-state stabilization of linear systems under data-rate constraints
Mahmoud Zamani, Guosong Yang
We study feedback stabilization of linear systems under data-rate constraints in the presence of completely unknown disturbances. A communication and control strategy is proposed b…
Topological entropy of nonlinear time-varying systems
Guosong Yang, Daniel Liberzon
We study the topological entropy of nonlinear time-varying systems. We establish conditions under which entropy is independent of the initial time and derive two general upper boun…
Topological entropy of switched nonlinear and interconnected systems
Guosong Yang, Daniel Liberzon, João P. Hespanha
A general upper bound for topological entropy of switched nonlinear systems is constructed, using an asymptotic average of upper limits of the matrix measures of Jacobian matrices…
Newton and interior-point methods for (constrained) nonconvex-nonconcave minmax optimization with stability and instability guarantees
Raphael Chinchilla, Guosong Yang, Joao P. Hespanha
We address the problem of finding a local solution to a nonconvex-nonconcave minmax optimization using Newton type methods, including interior-point ones. We modify the Hessian mat…
Adaptive Learning in Two-Player Stackelberg Games with Application to Network Security
Guosong Yang, Radha Poovendran, João P. Hespanha
We study a two-player Stackelberg game with incomplete information such that the follower's strategy belongs to a known family of parameterized functions with an unknown parameter…
Lyapunov small-gain theorems for networks of not necessarily ISS hybrid systems
Andrii Mironchenko, Guosong Yang, Daniel Liberzon
We prove a novel Lyapunov-based small-gain theorem for networks of hybrid systems which are not necessarily input-to-state stable. This result unifies and extends seve…