Model Predictive Control: Theory, Computation, and Design 2nd Edition
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Comprehensive Guide to Receding Horizon Control: Delve into the theory and applications of receding horizon control, a powerful technique for state model control.
Model Predictive Control for State Models: Learn how to design and implement model predictive controllers for state models, support optimal performance and stability.
Advanced Text in Control and Signal Processing: This book is an advanced textbook suitable for graduate students and researchers in control engineering and signal processing.
Step-by-Step Approach: The book follows a logical progression, starting with basic concepts and gradually building up to advanced topics.
Real-World Examples and Case Studies: Practical examples and case studies illustrate the application of receding horizon control in various fields.
MATLAB and Simulink Support: Includes MATLAB and Simulink code for implementing and simulating receding horizon controllers.
Comprehensive Coverage: Covers topics such as state estimation, optimal control, stability analysis, and constraint handling.
Rigorous Mathematical Treatment: Provides a solid mathematical foundation for understanding and applying receding horizon control techniques.
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