Fuzzy Decentralized Control for a Class of Networked Systems with Time Delay and Missing Measurements

Abstract

This paper is concerned with fuzzy decentralized control of a class of large-scale networked dynamic systems with network-induced time delays, missing measurements and external disturbances. Nonlinear systems are modeled in Takagi-Sugeno (T-S) form. Fuzzy decentralized state feedback controllers are developed. A sufficient condition on stochastic stability with prescribed H ∞ performance for the closed-loop control system is obtained by using the Lyapunov function method. The constructive design of the controller is expressed in terms of linear matrix inequalities. Finally, numerical simulations are provided to illustrate the results of this paper.

Decentralized robust adaptive neural dynamic surface control for multi‐machine excitation systems with static var compensator

“…In addition, as indicated in the work of Zhou et al, 30 the actual control signal E fi could be obtained from (5). In addition, as indicated in the work of Zhou et al, 30 the actual control signal E fi could be obtained from (5).…”

“…Then, E ′ qi , I qi , and I di could be calculated. In addition, as indicated in the work of Zhou et al, 30 the actual control signal E fi could be obtained from (5).…”

“…Therefore, the traditional linear control methods and centralized control schemes are limited since they can only cope with the small external disturbances near the operating point and possess the poor economic factors. Following the work of Ioannou, 20 some extended results for decentralized adaptive control have been conducted, ie, in other works, [21][22][23][24][25][26][27][28][29][30] where only the local states and measurements are required for the controller design of the nonlinear systems. The first decentralized adaptive control scheme was proposed by Ioannou, 20 where the relative degrees of each subsystem are strictly constrained to be less than two.…”

“…The first decentralized adaptive control scheme was proposed by Ioannou,20 where the relative degrees of each subsystem are strictly constrained to be less than two. Following the work of Ioannou, 20 some extended results for decentralized adaptive control have been conducted, ie, in other works, [21][22][23][24][25][26][27][28][29][30] where only the local states and measurements are required for the controller design of the nonlinear systems. For the decentralized control of large-scale power systems, in the work of Lu et al 21 and Ohtsuka and Morioka, 24 the traditional decentralized control strategies of power systems were designed where the multimachine excitation systems were treated as a linear model near some certain operating points without considering the tracking performance.…”

Control for networked control systems with packet dropout and delay

“…Different from the systems connecting through the hardwiring, the components of networked control systems (NCSs) such as sensors, actuators and controllers are connected through real‐time network channels, which are spatially distributed [1–3]. Due to the low power, effective cost and miniature devices, NCSs have attracted considerate interest.…”