𝔖 Scriptorium
✦   LIBER   ✦
📁

Implementation of self-tuning controllers

✍ Scribed by Kevin Warwick

Publisher
P. Peregrinus on behalf of the Institution of Electrical Engineers
Year
1988
Tongue
English
Leaves
323
Series
IEE control engineering series 35
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

Recursive estimation schemes for self-tuning control. LOG based self-tuning controllers. Simplified self-tuning control algorithms. Implementation of continuous-time controllers. Numerical problems in adaptive control. Self-tuning control using extended prediction horizons. Software aspects of self-tuning control. Application of long range predictive control. Self adaptive state variable feedback control with application to glasshouse systems. Self-tuning control - a case study. LQG adaptive autopilots

✦ Table of Contents

Content: * Chapter 1: Introduction to self-tuning control * Chapter 2: RLS based estimation schemes for self-tuning control * Chapter 3: LQG based self-tuning controllers * Chapter 4: Numerical algorithms in self-tuning control * Chapter 5: Simplified algorithms for self-tuning control * Chapter 6: A unified approach to adaptive control * Chapter 7: Implementation of continuous-time controllers * Chapter 8: Software aspects of self-tuning control * Chapter 9: Multistep predictive control and adaptation * Chapter 10: Application of extended prediction self-adaptive control * Chapter 11: Self-tuning and self-adaptive PIP control systems * Chapter 12: LQG adaptive autopilots * Chapter 13: Self-tuning control: Case studies

📜 SIMILAR VOLUMES

Digital Self-tuning Controllers: Algorit
📁 Digital Self-tuning Controllers: Algorithms, Implementation and Applications (Advanced Textbooks in Control and Signal Processing)
✍ Vladimír Bobál, Josef Böhm, Jaromír Fessl and Jiří Macháček 📂 Library 📅 2005 🌐 English

Adaptive control theory has developed significantly over the past few years; self-tuning control represents one branch of adaptive control that has been successfully applied in practice. Controller design requires knowledge of the plant to be controlled which is not always readily accessible; self-t

Feedforward Control: Analysis, Design, T
📁 Feedforward Control: Analysis, Design, Tuning Rules, and Implementation
✍ José Luis Guzmán, Tore Hägglund 📂 Library 📅 2024 🏛 De Gruyter 🌐 English

<div> <p>While there are thousands of books written about feedback control, it is surprising that this is the very first book about feedforward control. Feedforward control is a very powerful technique to compensate for measurable load disturbances in regulation control problems, and the use of fee

Feedforward Control: Analysis, Design, T
📁 Feedforward Control: Analysis, Design, Tuning Rules, and Implementation
✍ José Luis Guzmán, Tore Hägglund 📂 Library 📅 2024 🏛 De Gruyter 🌐 English

<div> <p>While there are thousands of books written about feedback control, it is surprising that this is the very first book about feedforward control. Feedforward control is a very powerful technique to compensate for measurable load disturbances in regulation control problems, and the use of fee

Stochastic Optimal Control Theory with A
📁 Stochastic Optimal Control Theory with Application in Self-Tuning Control
✍ Kenneth J. Hunt (eds.) 📂 Library 📅 1989 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>This book merges two major areas of control: the design of control systems and adaptive control. Original contributions are made in the polynomial approach to stochastic optimal control and the resulting control laws are then manipulated into a form suitable for application in the self-tuning con