โ Scribed by Kanjilal, Partha Pratim
No coin nor oath required. For personal study only.
This book is about prediction and control of processes which can be expressed by discrete-time models (i.e. the characteristics vary in some way with time). The aim of the book is to provide a unified and comprehensive coverage of the principles, perspectives and methods of adaptive prediction, which is used by scientists and researchers in a wide variety of disciplines
Content: * Chapter 1: Introduction * Chapter 2: Process models * Chapter 3: Parameter estimation * Chapter 4: Some popular methods of prediction * Chapter 5: Adaptive prediction using transfer-function models * Chapter 6: Kalman filter and state-space approaches * Chapter 7: Orthogonal transformation and modelling of periodic series * Chapter 8: Modellong of nonlinear processes: an introduction * Chapter 9: Modelling of nonlinear processes using GMDH * Chapter 10: Modelling and prediction of nonlinear processes using neural networks * Chapter 11: Modelling and prediction of quasiperiodic series * Chapter 12: Predictive control (Part-I): input-output model based * Chapter 13: Predictive control (Part-II): state-space model based * Chapter 14: Smoothing and filtering * Appendices
๐ SIMILAR VOLUMES
Its purpose is to provide a systematic access to the main topics of linear quadratic control, predictive control, and adaptive predictive control. DLC: Automatic control.