H<inf>&#x221E;</inf> fuzzy Networked control for vehicle lateral dynamics

Abstract

A vehicle dynamics control system (NCS) has been developed in this study for improving vehicle yaw rate dynamics under unreliable communication links with packet dropouts, and network-induced delay which are two typical network constraints of unreliable transmission. The NCS system consists of a fuzzy H∞ static output feedback controller. After giving the nonlinear model of the vehicle, a TakagiSugeno (T-S) fuzzy model representation is first discussed. Next, based on the Lyapunov krasovskii functional approach and a parallel distributed compensation scheme, the gains of the fuzzy controller are determined in terms of Linear Matrix Inequality (LMI). Simulations have been conducted to evaluate performance of the closed loop system under limitation of the network resources caused by data transmission.

Decentralized static output feedback fuzzy control design for nonlinear interconnected networked control systems

“…It is well known that limited network resources, network-induced delays and data packets dropout through the network, may degrade DNCS performance and lead to instability. It is point out that the communication delay, which has time-varying characteristics, is one of the important to be considered in NCS analysis and synthesis [4], [5], [8], [10], [12], [13], [15], [16] and [17].…”