Control System Analysis and Identification with MATLAB (R)

1. Block Pulse and Related Basis Functions 2. Function Approximation via Block Pulse Function and Related Functions 3. Block Pulse Domain Operational Matrices for Integration and Differentiation 4. Operational Transfer Functions for System Analysis 5. System Analysis and Identification Using Convolution and "Deconvolution" in BPF Domain 6. Delayed Unit Step Functions (DUSF) for System Analysis and Fundamental Nature of the Block Pulse Function (BPF) Set 7. Sample-and-Hold Functions (SHFs) for System Analysis 8. Discrete Time System Analysis Using a Set of Delta Functions (DFs) 9. Non-Optimal Block Pulse Functions (NOBPFs) for System Analysis and Identification 10. System Analysis and Identification Using Linearly Pulse-Width Modulated Generalized Block Pulse Functions (LPWM-GBPF) Appendix A: Introduction to Linear Algebra Appendix B: Selected MATLAB Programs

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• Geração e distribuição de energia
• Engenharia do controlo automático
• Engenharia das comunicações e telecomunicações
• Matemática aplicada

Block Pulse Functions;Block Pulse;Closed Loop Sampled Data Systems;Single Input Single Output Plant;Minimum Mise;Delta Domain;Integral Operational Matrix;Vide Appendix;Unit Step Input;Walsh Function;Operational Transfer Function;Linear Single Input;Plant Transfer Functions;Delay Matrix;Open Loop Control System;Exact Integration;Simple Feedback Control System;Pulse Width Modulated;Operational Matrix;Impulse Response Function;ISE;Convolution Result;Impulse Response;Rademacher Functions;Laplace Domain