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Feedback Systems: An Introduction for Scientists and Engineers, Second Edition [Kõva köide]

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  • Formaat: Hardback, 528 pages, kõrgus x laius: 254x178 mm, 290 b/w illus + 9 tables.
  • Ilmumisaeg: 02-Feb-2021
  • Kirjastus: Princeton University Press
  • ISBN-10: 0691193983
  • ISBN-13: 9780691193984
Teised raamatud teemal:
Feedback Systems: An Introduction for Scientists and Engineers, Second EditionSuurem pilt
  • Formaat: Hardback, 528 pages, kõrgus x laius: 254x178 mm, 290 b/w illus + 9 tables.
  • Ilmumisaeg: 02-Feb-2021
  • Kirjastus: Princeton University Press
  • ISBN-10: 0691193983
  • ISBN-13: 9780691193984
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780691193984.html
Märksõnad:
The essential introduction to the principles and applications of feedback systemsnow fully revised and expanded

This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems.

Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness.





Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
Preface to the Second Edition ix
Preface to the First Edition xi
1 Introduction
1(30)
1.1 What Is Feedback?
1(2)
1.2 What is Feedforward?
3(1)
1.3 What Is Control?
4(2)
1.4 Uses of Feedback and Control
6(7)
1.5 Feedback Properties
13(5)
1.6 Simple Forms of Feedback
18(3)
1.7 Combining Feedback with Logic
21(3)
1.8 Control System Architectures
24(3)
1.9 Further Reading
27(2)
Exercises
29(2)
2 Feedback Principles
31(30)
2.1 Nonlinear Static Models
31(4)
2.2 Linear Dynamical Models
35(7)
2.3 Using Feedback to Attenuate Disturbances
42(4)
2.4 Using Feedback to Track Reference Signals
46(3)
2.5 Using Feedback to Provide Robustness
49(3)
2.6 Positive Feedback
52(5)
2.7 Further Reading
57(1)
Exercises
57(4)
3 System Modeling
61(47)
3.1 Modeling Concepts
61(8)
3.2 State Space Models
69(13)
3.3 Modeling Methodology
82(7)
3.4 Modeling Examples
89(14)
3.5 Further Reading
103(1)
Exercises
103(5)
4 Examples
108(30)
4.1 Cruise Control
108(4)
4.2 Bicycle Dynamics
112(2)
4.3 Operational Amplifier Circuits
114(4)
4.4 Computing Systems and Networks
118(6)
4.5 Atomic Force Microscopy
124(3)
4.6 Drug Administration
127(5)
4.7 Population Dynamics
132(1)
Exercises
133(5)
5 Dynamic Behavior
138(37)
5.1 Solving Differential Equations
138(3)
5.2 Qualitative Analysis
141(3)
5.3 Stability
144(10)
5.4 Lyapunov Stability Analysis
154(11)
5.5 Parametric and Nonlocal Behavior
165(6)
5.6 Further Reading
171(1)
Exercises
171(4)
6 Linear Systems
175(38)
6.1 Basic Definitions
175(4)
6.2 The Matrix Exponential
179(10)
6.3 Input/Output Response
189(13)
6.4 Linearization
202(6)
6.5 Further Reading
208(1)
Exercises
208(5)
7 State Feedback
213(35)
7.1 Reachability
213(8)
7.2 Stabilization by State Feedback
221(8)
7.3 Design Considerations
229(7)
7.4 Integral Action
236(3)
7.5 Linear Quadratic Regulators
239(5)
7.6 Further Reading
244(1)
Exercises
245(3)
8 Output Feedback
248(33)
8.1 Observability
248(5)
8.2 State Estimation
253(5)
8.3 Control Using Estimated State
258(6)
8.4 Kalman Filtering
264(5)
8.5 State Space Controller Design
269(9)
8.6 Further Reading
278(1)
Exercises
278(3)
9 Transfer Functions
281(44)
9.1 Frequency Domain Modeling
281(2)
9.2 Determining the Transfer Function
283(11)
9.3 Laplace Transforms
294(3)
9.4 Block Diagrams and Transfer Functions
297(6)
9.5 Zero Frequency Gain, Poles, and Zeros
303(5)
9.6 The Bode Plot
308(12)
9.7 Further Reading
320(1)
Exercises
320(5)
10 Frequency Domain Analysis
325(30)
10.1 The Loop Transfer Function
325(3)
10.2 The Nyquist Criterion
328(10)
10.3 Stability Margins
338(4)
10.4 Bode's Relations and Minimum Phase Systems
342(3)
10.5 Generalized Notions of Gain and Phase
345(5)
10.6 Further Reading
350(1)
Exercises
351(4)
11 PID Control
355(25)
11.1 Basic Control Functions
355(6)
11.2 Simple Controllers for Complex Systems
361(3)
11.3 PID Tuning
364(5)
11.4 Integral Windup
369(3)
11.5 Implementation
372(5)
11.6 Further Reading
377(1)
Exercises
377(3)
12 Frequency Domain Design
380(33)
12.1 Sensitivity Functions
380(5)
12.2 Performance Specifications
385(6)
12.3 Feedback Design via Loop Shaping
391(6)
12.4 Feedforward Design
397(5)
12.5 The Root Locus Method
402(3)
12.6 Design Example
405(4)
12.7 Further Reading
409(1)
Exercises
409(4)
13 Robust Performance
413(30)
13.1 Modeling Uncertainty
413(8)
13.2 Stability in the Presence of Uncertainty
421(6)
13.3 Performance in the Presence of Uncertainty
427(4)
13.4 Design for Robust Performance
431(8)
13.5 Further Reading
439(1)
Exercises
440(3)
14 Fundamental Limits
443(32)
14.1 System Design Considerations
443(4)
14.2 Bode's Integral Formula
447(5)
14.3 Gain Crossover Frequency Inequality
452(5)
14.4 The Maximum Modulus Principle
457(4)
14.5 Robust Pole Placement
461(6)
14.6 Nonlinear Effects
467(4)
14.7 Further Reading
471(1)
Exercises
472(3)
Bibliography 475(16)
Index 491
Karl Johan Åström is senior professor of automatic control at Lund University in Sweden. His books include Adaptive Control, Introduction to Stochastic Control Theory, and Computer-Controlled Systems. Richard M. Murray is the Thomas E. and Doris Everhart Professor of Control and Dynamical Systems and Bioengineering at the California Institute of Technology. He is the coauthor of A Mathematical Introduction to Robotic Manipulation.