A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems - Info and Reading Options

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Intro -- Preface -- Contents -- List of Figures -- 1 Introduction -- 1.1 General -- 1.2 Quadratic Constraint-a Time-Domain Perspective -- 1.2.1 Positive Supply Power -- 1.2.2 Energy-Dissipative Motion -- 1.2.3 Predictive PID Based on Energy-Dissipativity -- 1.3 General Dissipativity Constraint -- 1.3.1 System Model -- 1.3.2 Supply Rates with Compound Vectors -- 1.3.3 Stability -- 1.3.4 Passivity and Small-Gain Theorems -- 1.3.5 Nucleus Contributions -- 2 Quadratic Constraint for Decentralised Model Predictive Control -- 2.1 Control and System Models -- 2.2 Asymptotic Attractivity Condition -- 2.2.1 Quadratic Constraint -- 2.2.2 Attractivity Constraint and Its Qualification -- 2.2.3 Attractivity Condition for Unconstrained Systems -- 2.3 Decentralised Model Predictive Control and Quadratic Constraint -- 2.3.1 Decentralised Model Predictive Control -- 2.3.2 Centralised Moving Horizon State Estimation -- 2.3.3 Attractivity Condition for Control-Constrained Systems -- 2.4 Decentralised MPC with Quadratic Constraint Algorithm -- 2.4.1 Procedure -- 2.4.2 Determination of the QDC Coefficient Matrices -- 2.5 Numerical Simulation -- 2.5.1 Illustrative Example 1 -- 2.5.2 Illustrative Example 2 -- 2.5.3 Illustrative Example 3 -- 2.6 Concluding Remarks -- 3 Quadratic Constraint for Parallel Splitting Systems -- 3.1 System and Control Model -- 3.1.1 Serial Connection -- 3.1.2 Parallelised Connection -- 3.1.3 Global System -- 3.2 Parallel Splitting System with a Matrix Annihilation -- 3.2.1 Asymptotically Surely Positive Realness Constraint and Attractability Condition -- 3.2.2 Decentralised MPC for Parallel Splitting Systems -- 3.3 Parallelised Masking Dissipativity Criterion -- 3.3.1 Subsystem Control Model -- 3.3.2 Unit Control Model -- 3.3.3 Global System Control Model -- 3.3.4 Subsystem Stand-Alone Control Model

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