Stability Analysis and Controller Design of Local Model Networks

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Focusing on stability analysis and controller design, this book explores local model networks (LMNs) as effective tools for nonlinear dynamic system identification. It highlights the advantages of LMNs over other approximation methods, particularly in applying linear controller design techniques alongside nonlinear optimization for stable state feedback and PID controllers. The text presents two innovative approaches for deriving global Linear Matrix Inequalities (LMIs) and optimizing PID parameters using iterative methods and genetic algorithms, enhancing multiple optimization criteria simultaneously.