Control system analysis and identification with MATLAB :
pages cm Content notes : 1. Block Pulse and Related Basis Functions --
2. Function Approximation via Block Pulse Functionand Related Functions --
3. Block Pulse Domain Operational Matrices for Integrationand Differentiation --
4. Operational Transfer Functions for System Analysis --
5. System Analysis and Identification Using Convolutionand "Deconvolution" in BPF Domain --
6. Delayed Unit Step Functions (DUSF) for System Analysis andFundamental Nature of the Block Pulse Function (BPF) Set --
7. Sample-and-Hold Functions (SHFs) for System Analysis --
8. Discrete Time System Analysis Using a Setof Delta Functions (DFs) --
9. Non-Optimal Block Pulse Functions (NOBPFs) for SystemAnalysis and Identificationm --
10. System Analysis and Identification Using Linearly Pulse-WidthModulated Generalized Block Pulse Functions (LPWM-GBPF) --
Appendix A: Introduction to Linear Algebra --
Appendix B: Selected MATLAB Programs. Discrete-time systems - Mathematical models. Orthogonal Functions.