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E-grāmata: Control Theory

(Linkoeping University, Sweden), (Linkoeping University, Sweden)
  • Formāts: 482 pages
  • Izdošanas datums: 08-Oct-2018
  • Izdevniecība: Taylor & Francis Ltd
  • Valoda: eng
  • ISBN-13: 9781482268164
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  • Formāts: 482 pages
  • Izdošanas datums: 08-Oct-2018
  • Izdevniecība: Taylor & Francis Ltd
  • Valoda: eng
  • ISBN-13: 9781482268164
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This is a textbook designed for an advanced course in control theory. Currently most textbooks on the subject either looks at "multivariate" systems or "non-linear" systems. However, Control Theory is the only textbook available that covers both. It explains current developments in these two types of control techniques, and looks at tools for computer-aided design, for example Matlab and its toolboxes. To make full use of computer design tools, a good understanding of their theoretical basis is necessary, and to enable this, the book presents relevant mathematics clearly and simply. The practical limits of control systems are explored, and the relevance of these to control design are discussed. Control Theory is an ideal textbook for final-year undergraduate and postgraduate courses, and the student will be helped by a series of exercises at the end of each chapter. Professional engineers will also welcome it as a core reference.
Preface xi
Notation xiii
Introduction
1(24)
Multivariable Systems
2(3)
Nonlinear Systems
5(1)
Discrete and Continuous Time Models and Controllers
6(2)
Some Basic Concepts in Control
8(7)
Gain and Signal Size
15(3)
Stability and the Small Gain Theorem
18(4)
Comments
22(3)
PART I LINEAR SYSTEMS 25(120)
Representation of Linear Systems
27(16)
Impulse Response and Weighting Function
27(1)
Transfer Function Matrices
28(2)
Transfer Operator
30(1)
Input--Output Equations
30(1)
State Space Form
31(6)
Discrete Time Systems
37(4)
Comments
41(2)
Properties of Linear Systems
43(40)
Solving the System Equations
43(1)
Controllability and Observability
44(4)
Poles and Zeros
48(5)
Stability
53(5)
Frequency Response and Frequency Functions
58(5)
Model Reduction
63(5)
Discrete Time Systems
68(9)
Comments
77(6)
Proofs
79(4)
Sampled Data Systems
83(18)
Approximating Continuous Time Systems
83(2)
System Sampling
85(5)
Poles and Zeros
90(3)
Controllability and Observability
93(3)
Frequency Functions
96(3)
Comments
99(2)
Disturbance Models
101(44)
Disturbances
101(2)
Signal Size and Scaling
103(3)
Spectral Description of Disturbances
106(6)
Description of Disturbances in the Time Domain
112(2)
Estimation of One Signal from Another
114(2)
Measurement and System Disturbances
116(8)
Observers and Kalman Filters
124(7)
Discrete Time Systems
131(8)
Practical Aspects of Signal Sampling
139(1)
Comments
140(5)
Proofs
141(4)
PART II LINEAR CONTROL THEORY 145(160)
The Closed Loop System
147(24)
The Transfer Functions of the Closed Loop System
147(3)
Stability of the Closed System
150(2)
Sensitivity and Robustness
152(3)
Specifications
155(1)
Specifications in the Time Domain
156(3)
Specifications in the Frequency Domain
159(5)
Sampled Data Controllers
164(5)
Comments
169(2)
Basic Limitations in Control Design
171(44)
Scaling of Variables
171(1)
Intuitive Analysis
172(4)
Loop Gain Limitations
176(3)
S and T: Individual Limitations
179(7)
Consequences for the System Performance
186(6)
Effects of Control Signal Bounds
192(3)
The Multivariable Case
195(6)
Some Examples
201(7)
Comments
208(7)
Proofs
209(6)
Controller Structures and Control Design
215(24)
Main Ideas
216(3)
Configuration of Multivariable Controllers
219(9)
Internal Model Control
228(5)
Feedback from Reconstructed States
233(4)
Comments
237(2)
Minimization of Quadratic Criteria: LQG
239(38)
The Criterion and the Main Ideas
239(3)
The Optimal Controller: Main Results
242(5)
Some Practical Aspects
247(10)
Robustness for LQG Controllers
257(7)
Discrete Time Systems
264(7)
Comments
271(6)
Proofs
273(4)
Loop Shaping
277(28)
Direct Methods
277(1)
Formalization of the Requirements
278(6)
Optimal H2 Control
284(1)
Optimal H∞ Control
285(8)
Robust Loop Shaping
293(7)
Discrete Time Systems
300(1)
Comments
301(4)
To Decrease the Spread of the Singular Values
303(2)
PART III NONLINEAR CONTROL THEORY 305(146)
Describing Nonlinear Systems
307(14)
Linear Versus Nonlinear
308(4)
Examples of Nonlinear Systems
312(2)
Mathematical Description
314(3)
Equilibria and Linearization
317(2)
Comments
319(2)
Stability of Nonlinear Systems
321(18)
Stability of Equilibria
321(2)
Stability and Lyapunov Functions
323(6)
The Circle Criterion
329(6)
Comments
335(4)
Proofs
337(2)
Phase Plane Analysis
339(16)
Phase Planes for Linear Systems
339(7)
Phase Planes for Nonlinear Systems
346(6)
Comments
352(3)
Oscillations and Describing Functions
355(16)
The Describing Function Method
356(4)
Computing Amplitude and Frequency of Oscillations
360(4)
Comments
364(7)
Some Describing Functions
366(5)
Controller Synthesis for Nonlinear Systems
371(12)
Linear Design and Nonlinear Verification
371(1)
Nonlinear Internal Model Control
372(2)
Parametric Optimization
374(3)
Other Approaches
377(1)
State Feedback and Observer
378(4)
Comments
382(1)
Model Predictive Control
383(10)
Basic Idea: Predict the Output
383(1)
k-step Prediction for Linear Systems
384(1)
The Criterion and the Controller
385(6)
Comments
391(2)
To Compensate Exactly for Nonlinearities
393(14)
Examples of Exact Linearization
393(2)
Relative Degree
395(2)
Input-Output Linearization
397(4)
Exact State Linearization
401(4)
Comments
405(2)
Optimal Control
407(44)
The Goddard Rocket Problem
407(3)
The Maximum Principle
410(14)
Solution of the Goddard Rocket Problem
424(4)
Minimum Time Problems
428(8)
Optimal Feedback
436(6)
Numerical Methods
442(2)
Comments
444(7)
Proof of the Maximum Principle
445(6)
Some Final Words
451
Torkel Glad, Lennart Ljung