Event-Triggered Distributed Output-Feedback Control Of Multi-Weighted And Multi-Delayed Large-Scale Systems

Large-scale interconnected systems have gained much attention from control com?munity over the past few years owing to the reason that a large number of contemporary engineering systems can be modeled by them.Examples for large-scale interconnected systems include electric power networks,multi-robot systems,transportation networks,industrial chemical processes,manufacturing systems,adaptive optical systems,and water systems,just to name a few.The increasing number of subsystems in such high-tech engineering systems has resulted in the exponential surge in their complexity.The flexibility and redundancy in the design of such complex systems can be improved by having multiple coupling links between their subsystems.This has soared up the need to develop analytical frameworks to design large-scale dynamical systems having mul-tiple coupling links or interconnections between subsystems.Multi-weighted and multi-delayed(MWMD)large-scale interconnected systems are characterized to have multiple coupling links between neighboring subsystems and all links are assumed to have different coupling weights and delays.The main aim of this dissertation is to investigate the problem of event-triggered distributed output-feedback control of MWMD large-scale interconnected systems.Firstly,it describes an event-triggered distributed dynamic output-feedback control approach for dissipative stabi-lization of multi-weighted and multi-delayed large-scale interconnected systems with nonlinear perturbations,quantization,packet dropouts and stochastic deception attacks.A distributed dynamic output feedback controller(DOFC)is constructed for efficiently dealing with the effect of subsystem interconnections and assuring the stochastic sta-bility with prescribed strict(Q,S,R)-dissipative performance of the system.An output-dependent discrete-time event-triggered control mechanism is devised to lower the oc-currence of communication events within the system·Logarithmic quantization is used to further conserve the network resources by reducing the data packet size.Moreover,the effects of packet dropouts and stochastic deception attacks within the communica-tion network are also considered.Sufficient conditions that assure the exponential mean square stability with specified strict(Q,S,R)-dissipative performance of the system are derived by making use of the stochastic systems theory and Lyapunov-Krasovskii sta-bility analysis.The gains for the subsystem controllers are determined by using the cone complementarity linearization(CCL)algorithm to solve a nonlinear minimization problem constrained by linear matrix inequalities(LMI).In the end,the proposed con-trol approach is applied to a continuous stirred tank reactor(CSTR)system in order to exhibit its validity.This dissertation also addresses the problem of distributed simultaneous fault de-tection and control(SFDC)of multi-weighted and multi-delayed large-scale intercon-nected systems which are subjected to event-triggered communication,nonlinear per-turbations,measured output quantization,redundant channels and stochastic deception attacks.A distributed fault detector and controller(FDC)module is designed to guar-antee the exponential mean square stability of the overall closed-loop system alongwith a prescribed extended dissipative control performance and H? fault detection perfor-mance.The communication within a subsystem and among the neighboring subsystems is based on the event-triggering mechanism.The measured outputs of the subsystems are quantized before being broadcasted to their concerned controllers.Furthermore,the broadcasted measured outputs are also considered to be under stochastic deception at-tacks.The reliability of the shared communication network is enhanced by considering one primary and one redundant channel.Both the channels are considered to have dif-ferent communication bandwidths.Furthermore,the analytical framework presented here can also be extended to the multiple redundant channels case.The gain parameters of the distributed fault detector and controller module are determined by using the cone complementarity linearization algorithm.In the end,a numerical example involving a continuous stirred tank reactor system is described to prove the validity of the presented results.