الفهرس 
Chapter 1: IntroductionOnly 14 pages are availabe for public view
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Abstract
This thesis solves the problem of decentralized control of Multi Input-Multi Output (MIMO) systems by decomposition aggregation and decentralization approach. The MIMO system is decomposed into number of interconnected subsystems. A set of local decentralized controllers are constructed for individual subsystems. Global controllers are sometimes required for strongly coupled system cases to reduce the effect of the interaction between the interconnected subsystems. An important issue is to adapt methods considering structure constraints and disturbances.
Three different control techniques are applied to stabilize a Load Frequency Control (LFC) system against load disturbance and uncertainties. Linear Quadratic Regulator (LQR) based on achieving undesired subsystem eigenvalues (unstable or slow) ones in to prescribed (stable, faster or dampened) ones. Q-parameterization, and H_∞ techniques are also generated, in which, weighting functions and suitable compensators are designed. Multi Verse Optimizing (MVO) algorithm is used to optimally adapt all the designed controller gains, weighting functions, and needed compensators that resulted from the conventional methods. The simulation results of all the designed controllers are compared with each other’s and with other recent research results.
A numerical case study for large scale-system is considered with H_∞ control and the results are compared to the conventional pole placement method. The possibility of using ITAE pole selection with decentralized large-scale system control is investigated.
Simulation results for stability and performance examine the effectiveness of the proposed techniques to stabilize the decentralized MIMO systems against disturbances and uncertainties.