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Preface; Organization; Contents; Part I: Control Theory; Controllability for the Constrained RollingMotion of Symplectic Groups; 1 Introduction; 2 Quadratic Lie Groups; 3 Rolling Maps in (; 4 Rolling Quadratic Lie Groups; 5 Controllability of the Kinematic Equations; References; Minimal State-Space Realizationsof Convolutional Codes; 1 Introduction; 2 Convolutional Codes and Their Encoders; 3 Realization Problem; 3.1 Realizations of Encoders; 3.2 Realizations of Convolutional Codes; 4 Minimal Code Realization Procedure; 5 Conclusion; References; Solvability of Implicit Difference Equations.
1 Introduction2 MainResults; 3 Proofs of the Main Results; References; Control of a Hysteresis Model Subjectto Random Failures; 1 Introduction; 2 Basic Definitions and Main Result; 2.1 Proof of Theorem 1; 3 Experimental Evaluation; 4 Concluding Remarks; References; On the Study of Complex Impulsive Systems; 1 Introduction; 2 Impulsive Control Problem; 3 Solution Correctness; 4 ModelExample; 5 Conclusions; References; Part II:Model Predictive Control; Promoting Collaborative Relationsat Intermodal Hubs Using an IterativeMPC Approach; 1 Introduction; 2 Modeling Intermodal Hubs.
3 Collaborative Relations at Intermodal Hubs3.1 Control Agent for Each Terminal; 3.2 Coordinator Agent; 4 Simulation Experiments; 4.1 Simulation Setup; 4.2 Numerical Experiments; 5 Conclusions and Future Research; References; Structures ́ Influence on Model-Plant Mismatch Detection Methods in MPC Using Partial Correlation; 1 Introduction; 2 Relationship between the Methods of Badwe; and Carlsson; 3 Model Bias in Correlation Analysis; 4 Suitable Dynamic Models; 5 Mismatch Detection Example; 6 Influence of Model Order on Mismatch Detection; 7 Conclusions; References.
On Performance of Distributed Model Predictive Control in Power System Frequency Regulation1 Introduction; 2 Problem Formulation; 3 MPC Distributed Algorithm; 4 Numerical Simulation; 4.1 Control Areas Configuration; 4.2 Simulation Results. Interconnected Control Areas; 5 Conclusions; References; Sliding Mode Generalized Predictive ControlBased on Dual Optimization; 1 Introduction; 2 Sliding Mode Generalized Predictive Control; 2.1 Controller Design; 3 Simulation Results; 3.1 System Description and Design Parameters; 4 Conclusions and Further Works; References.
On Wind Turbine Model Predictive Pitch Control: An Event-Based Simulation Approach1 Introduction; 2 Modeling; 2.1 WECS Model; 3 Control Strategy; 3.1 Model Predictive Control; 3.2 Supervisory Control; 4 Simulation and Results; 5 Conclusions; References; Part III:Fuzzy and Neural Control; Neural PCA Controller Based on Multi-Models; 1 Introduction; 2 Control Loop Performance Analysis (CLPA) Approach Based on a Modified Normalized Harris Index; 3 Linear Integral Controller Based on Classical PCA Model; 4 Linear Controller Based on Neural PCA Model.
1 Introduction2 MainResults; 3 Proofs of the Main Results; References; Control of a Hysteresis Model Subjectto Random Failures; 1 Introduction; 2 Basic Definitions and Main Result; 2.1 Proof of Theorem 1; 3 Experimental Evaluation; 4 Concluding Remarks; References; On the Study of Complex Impulsive Systems; 1 Introduction; 2 Impulsive Control Problem; 3 Solution Correctness; 4 ModelExample; 5 Conclusions; References; Part II:Model Predictive Control; Promoting Collaborative Relationsat Intermodal Hubs Using an IterativeMPC Approach; 1 Introduction; 2 Modeling Intermodal Hubs.
3 Collaborative Relations at Intermodal Hubs3.1 Control Agent for Each Terminal; 3.2 Coordinator Agent; 4 Simulation Experiments; 4.1 Simulation Setup; 4.2 Numerical Experiments; 5 Conclusions and Future Research; References; Structures ́ Influence on Model-Plant Mismatch Detection Methods in MPC Using Partial Correlation; 1 Introduction; 2 Relationship between the Methods of Badwe; and Carlsson; 3 Model Bias in Correlation Analysis; 4 Suitable Dynamic Models; 5 Mismatch Detection Example; 6 Influence of Model Order on Mismatch Detection; 7 Conclusions; References.
On Performance of Distributed Model Predictive Control in Power System Frequency Regulation1 Introduction; 2 Problem Formulation; 3 MPC Distributed Algorithm; 4 Numerical Simulation; 4.1 Control Areas Configuration; 4.2 Simulation Results. Interconnected Control Areas; 5 Conclusions; References; Sliding Mode Generalized Predictive ControlBased on Dual Optimization; 1 Introduction; 2 Sliding Mode Generalized Predictive Control; 2.1 Controller Design; 3 Simulation Results; 3.1 System Description and Design Parameters; 4 Conclusions and Further Works; References.
On Wind Turbine Model Predictive Pitch Control: An Event-Based Simulation Approach1 Introduction; 2 Modeling; 2.1 WECS Model; 3 Control Strategy; 3.1 Model Predictive Control; 3.2 Supervisory Control; 4 Simulation and Results; 5 Conclusions; References; Part III:Fuzzy and Neural Control; Neural PCA Controller Based on Multi-Models; 1 Introduction; 2 Control Loop Performance Analysis (CLPA) Approach Based on a Modified Normalized Harris Index; 3 Linear Integral Controller Based on Classical PCA Model; 4 Linear Controller Based on Neural PCA Model.