Robust control of uncertain nonlinear dynamical systems via linear time-varying approximations

2005 ◽  
Vol 63 (5-7) ◽  
pp. e2315-e2327 ◽  
Author(s):  
S.F.F. Fahmy ◽  
S.P. Banks
Author(s):  
Wassim M. Haddad ◽  
Sergey G. Nersesov

This chapter describes a stability and control design framework for time-varying and time-invariant sets of nonlinear dynamical systems. The framework is applied to the problem of coordination control for multiagent interconnected systems predicated on vector Lyapunov functions. In multiagent systems, several Lyapunov functions arise naturally where each agent can be associated with a generalized energy function corresponding to a component of a vector Lyapunov function. The chapter characterizes a moving formation of vehicles as a time-varying set in the state space to develop a distributed control design framework for multivehicle coordinated motion control by designing stabilizing controllers for time-varying sets of nonlinear dynamical systems. The proposed cooperative control algorithms are shown to globally exponentially stabilize both moving and static formations.


2019 ◽  
Vol 100 (2) ◽  
Author(s):  
Shanwu Li ◽  
Eurika Kaiser ◽  
Shujin Laima ◽  
Hui Li ◽  
Steven L. Brunton ◽  
...  

2000 ◽  
Author(s):  
Swaroop Darbha ◽  
K. R. Rajagopal

Abstract In a previous paper, we discussed the characteristics of a “meaningful” average of a collection of dynamical systems, and introduced as well as contructed a “meaningful” average that is not usually what is meant by an “ensemble” average. We also addressed the associated issue of the existence and construction of such an average for a class of interconnected, linear, time invariant dynamical systems. In this paper, we consider the issue of the construction of a meaningful average for a collection of a class of nonlinear dynamical systems. The construction of the meaningful average will involve integrating a nonlinear differential equation, of the same order as that of any member of the systems in the collection. Such an “average” dynamical system is not only attractive from a computational perspective, but also represents the macroscopic behavior of the interconnected dynamical systems. An average dynamical system can be used in the analysis and design of hierarchical systems.


Sign in / Sign up

Export Citation Format

Share Document