"Control Based on PID Framework: The Mutual Promotion of Control and Identification for Complex Systems" ed. by Wei Wang

This book covers some of the recent results that include improvements to the PID controller.

With numerous new opportunities and challenges emerging from the topic of the cognition and control of complex systems, the methods related to PID control, or control based on a PID framework, will continue to grow and expand.
Some examples of these improvements are as follows:
• The novelty method of the variable, fractional-order PID controller
• The optimization of PID controller, such as the hybrid LQR-PID controller by using genetic algorithm (GA) with the application for the control of helicopter systems
• The optimized tuning approach of PID controller with disturbance rejection
• A controller adjustment method based on the internal product of PID terms
• The PI-PD controller, incorporated with the model-based feedforward control (FF) and the disturbance compensator (Kz), which is used for the control of magnetic levitation systems
• The proper control with PID framework used to improve the cognition or identification for complex systems


Contents
1. Variable, Fractional-Order PID Controller Synthesis Novelty Method
2. A Hybrid Control Approach Based on the Combination of PID Control with LQR Optimal Control
3. Improving Disturbance-Rejection by Using Disturbance Estimator
4. Adjustment of the PID Gains Vector Due to Parametric Variations in the Plant Model in Terms of Internal Product
5. Enhanced Nonlinear PID Controller for Positioning Control of Maglev System
6. Multi-Parameter Estimation of Uncertain Systems Based on the Extended PID Control Method


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