This book collates the important results which have emerged in the field of non-linear model based predictive control. Feedback linearisation, differential flatness, control Lyapunov functions, output feedback and neural networks are all discussed.
This book collates the important results which have emerged in the field of non-linear model based predictive control. Feedback linearisation, differential flatness, control Lyapunov functions, output feedback and neural networks are all discussed.
* Part I * Chapter 1: Review of nonlinear model predictive control applications * Chapter 2: Nonlinear model predictive control: issues and applications * Part II * Chapter 3: Model predictive control: output feedback and tracking of nonlinear systems * Chapter 4: Model predictive control of nonlinear parameter varying systems via receding horizon control Lyapunov functions * Chapter 5: Nonlinear model-algorithmic control for multivariable nonminimum-phase processes * Part III * Chapter 6: Open-loop and closed-loop optimality in interpolation MPC * Chapter 7: Closed-loop predictions in model based predictive control linear and nonlinear systems * Chapter 8: Computationally efficient non linear predictive control algorithm for control of constrained nonlinear systems * Part IV * Chapter 9: Long-prediction-horizon nonlinear model predictive control * Chapter 10: Nonlinear control of industrial processes * Chapter 11: Nonlinear model based predictive control using multiple local models * Chapter 12: Neural network control of a gasoline engine with rapid sampling
* Part I * Chapter 1: Review of nonlinear model predictive control applications * Chapter 2: Nonlinear model predictive control: issues and applications * Part II * Chapter 3: Model predictive control: output feedback and tracking of nonlinear systems * Chapter 4: Model predictive control of nonlinear parameter varying systems via receding horizon control Lyapunov functions * Chapter 5: Nonlinear model-algorithmic control for multivariable nonminimum-phase processes * Part III * Chapter 6: Open-loop and closed-loop optimality in interpolation MPC * Chapter 7: Closed-loop predictions in model based predictive control linear and nonlinear systems * Chapter 8: Computationally efficient non linear predictive control algorithm for control of constrained nonlinear systems * Part IV * Chapter 9: Long-prediction-horizon nonlinear model predictive control * Chapter 10: Nonlinear control of industrial processes * Chapter 11: Nonlinear model based predictive control using multiple local models * Chapter 12: Neural network control of a gasoline engine with rapid sampling
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