Nonlinear Dynamical Systems and Control :A Lyapunov-Based Approach

Publication subTitle :A Lyapunov-Based Approach

Author: Haddad Wassim;Chellaboina VijaySekhar  

Publisher: Princeton University Press‎

Publication year: 2011

E-ISBN: 9781400841042

P-ISBN(Paperback): 9780691133294

Subject: G804.32 Sports and personal hygiene.

Keyword: 概率论(几率论、或然率论),应用数学

Language: ENG

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Description

Nonlinear Dynamical Systems and Control presents and develops an extensive treatment of stability analysis and control design of nonlinear dynamical systems, with an emphasis on Lyapunov-based methods. Dynamical system theory lies at the heart of mathematical sciences and engineering. The application of dynamical systems has crossed interdisciplinary boundaries from chemistry to biochemistry to chemical kinetics, from medicine to biology to population genetics, from economics to sociology to psychology, and from physics to mechanics to engineering. The increasingly complex nature of engineering systems requiring feedback control to obtain a desired system behavior also gives rise to dynamical systems.


Wassim Haddad and VijaySekhar Chellaboina provide an exhaustive treatment of nonlinear systems theory and control using the highest standards of exposition and rigor. This graduate-level textbook goes well beyond standard treatments by developing Lyapunov stability theory, partial stability, boundedness, input-to-state stability, input-output stability, finite-time stability, semistability, stability of sets and periodic orbits, and stability theorems via vector Lyapunov functions. A complete and thorough treatment of dissipativity theory, absolute stability theory, stability of feedback systems, optimal control, disturbance rejection control, and robust control for nonlinear dynamical systems is also given. This book is an indispensable resource for appli

Chapter

2.15 Notes and References

Chapter Three: Stability Theory for Nonlinear Dynamical Systems

3.1 Introduction

3.2 Lyapunov Stability Theory

3.3 Invariant Set Stability Theorems

3.4 Construction of Lyapunov Functions

3.5 Converse Lyapunov Theorems

3.6 Lyapunov Instability Theorems

3.7 Stability of Linear Systems and Lyapunov’s Linearization Method

3.8 Problems

3.9 Notes and References

Chapter Four: Advanced Stability Theory

4.1 Introduction

4.2 Partial Stability of Nonlinear Dynamical Systems

4.3 Stability Theory for Nonlinear Time-Varying Systems

4.4 Lagrange Stability, Boundedness, and Ultimate Boundedness

4.5 Input-to-State Stability

4.6 Finite-Time Stability of Nonlinear Dynamical Systems

4.7 Semistability of Nonlinear Dynamical Systems

4.8 Generalized Lyapunov Theorems

4.9 Lyapunov and Asymptotic Stability of Sets

4.10 Poincaré Maps and Stability of Periodic Orbits

4.11 Stability Theory via Vector Lyapunov Functions

4.12 Problems

4.13 Notes and References

Chapter Five: Dissipativity Theory for Nonlinear Dynamical Systems

5.1 Introduction

5.2 Dissipative and Exponentially Dissipative Dynamical Systems

5.3 Lagrangian and Hamiltonian Dynamical Systems

5.4 Extended Kalman-Yakubovich-Popov Conditions for Nonlinear Dynamical Systems

5.5 Linearization of Dissipative Dynamical Systems

5.6 Positive Real and Bounded Real Dynamical Systems

5.7 Absolute Stability Theory

5.8 The Positivity Theorem and the Circle Criterion

5.9 The Popov Criterion

5.10 Problems

5.11 Notes and References

Chapter Six: Stability and Optimality of Feedback Dynamical Systems

6.1 Introduction

6.2 Feedback Interconnections of Dissipative Dynamical Systems

6.3 Energy-Based Feedback Control

6.4 Stability Margins for Nonlinear Feedback Regulators

6.5 Control Lyapunov Functions

6.6 Optimal Control and the Hamilton-Jacobi-Bellman Equation

6.7 Feedback Linearization, Zero Dynamics, and Minimum-Phase Systems

6.8 Problems

6.9 Notes and References

Chapter Seven: Input-Output Stability and Dissipativity

7.1 Introduction

7.2 Input-Output Stability

7.3 The Small Gain Theorem

7.4 Input-Output Dissipativity Theory

7.5 Input-Output Operator Dissipativity Theory

7.6 Connections Between Input-Output Stability and Lyapunov Stability

7.7 Induced Convolution Operator Norms of Linear Dynamical Systems

7.8 Induced Convolution Operator Norms of Linear Dynamical Systems and … Stability

7.9 Finitely Computable Upper Bounds for |||G|||(∞,p),(1,r)

7.10 Upper Bounds for … Operator Norms

7.11 Problems

7.12 Notes and References

Chapter Eight: Optimal Nonlinear Feedback Control

8.1 Introduction

8.2 Stability Analysis of Nonlinear Systems

8.3 Optimal Nonlinear Control

8.4 Inverse Optimal Control for Nonlinear Affine Systems

8.5 Gain, Sector, and Disk Margins of Nonlinear-Nonquadratic Optimal Regulators

8.6 Inverse Optimality of Nonlinear Regulators

8.7 Linear-Quadratic Optimal Regulators

8.8 Stability Margins, Meaningful Inverse Optimality, and Control Lyapunov Functions

8.9 Problems

8.10 Notes and References

Chapter Nine: Inverse Optimal Control and Integrator Backstepping

9.1 Introduction

9.2 Cascade and Block Cascade Control Design

9.3 Optimal Integrator Backstepping Controllers

9.4 Optimal Linear Block Backstepping Controllers

9.5 Optimal Nonlinear Block Backstepping Controllers

9.6 Rotating Stall and Surge Control for Axial Compression Systems

9.7 Surge Control for Centrifugal Compressors

9.8 Problems

9.9 Notes and References

Chapter Ten: Disturbance Rejection Control for Nonlinear Dynamical Systems

10.1 Introduction

10.2 Nonlinear Dissipative Dynamical Systems with Bounded Disturbances

10.3 Specialization to Dissipative Systems with Quadratic Supply Rates

10.4 A Riccati Equation Characterization for Mixed … Performance

10.5 Nonlinear-Nonquadratic Controllers for Systems with Bounded Disturbances

10.6 Optimal and Inverse Optimal Control for Affine Systems with … Disturbances

10.7 Stability Margins, Meaningful Inverse Optimality, and Nonexpansive Control Lyapunov Functions

10.8 Nonlinear Controllers with Multilinear and Polynomial Performance Criteria

10.9 Problems

10.10 Notes and References

Chapter Eleven: Robust Control for Nonlinear Uncertain Systems

11.1 Introduction

11.2 Robust Stability Analysis of Nonlinear Uncertain Systems

11.3 A Dissipative Systems Perspective on Robust Stability

11.4 Robust Optimal Control for Nonlinear Uncertain Systems

11.5 Optimal and Inverse Optimal Robust Control for Nonlinear Uncertain Affine Systems

11.6 Nonlinear Guaranteed Cost Control

11.7 Stability Margins, Meaningful Inverse Optimality, and Robust Control Lyapunov Functions

11.8 Robust Nonlinear Controllers with Polynomial Performance Criteria

11.9 Robust Nonlinear Controllers with Multilinear Performance Criteria

11.10 Problems

11.11 Notes and References

Chapter Twelve: Structured Parametric Uncertainty and Parameter-Dependent Lyapunov Functions

12.1 Introduction

12.2 Linear Uncertain Systems and the Structured Singular Value

12.3 Robust Stability Analysis of Nonlinear Uncertain Systems via Parameter-Dependent Lyapunov Functions

12.4 Robust Optimal Control for Nonlinear Systems via Parameter-Dependent Lyapunov Functions

12.5 Robust Control for Nonlinear Uncertain Affine Systems

12.6 Robust Nonlinear Controllers with Polynomial Performance Criteria

12.7 Robust Nonlinear Controllers with Multilinear Performance Criteria

12.8 Problems

12.9 Notes and References

Chapter Thirteen: Stability and Dissipativity Theory for Discrete-Time Nonlinear Dynamical Systems

13.1 Introduction

13.2 Discrete-Time Lyapunov Stability Theory

13.3 Discrete-Time Invariant Set Stability Theorems

13.4 Converse Lyapunov Theorems for Discrete-Time Systems

13.5 Partial Stability of Discrete-Time Nonlinear Dynamical Systems

13.6 Stability Theory for Discrete-Time Nonlinear Time-Varying Systems

13.7 Lagrange Stability, Boundedness, and Ultimate Boundedness

13.8 Stability Theory via Vector Lyapunov Functions

13.9 Dissipative and Geometrically Dissipative Discrete-Time Dynamical Systems

13.10 Extended Kalman-Yakubovich-Popov Conditions for Discrete-Time Dynamical Systems

13.11 Linearization of Dissipative Dynamical Systems

13.12 Positive Real and Bounded Real Discrete-Time Dynamical Systems

13.13 Feedback Interconnections of Dissipative Dynamical Systems

13.14 Stability Margins of Discrete Regulators

13.15 Control Lyapunov Functions for Discrete-Time Systems

13.16 Problems

13.17 Notes and References

Chapter Fourteen: Discrete-Time Optimal Nonlinear Feedback Control

14.1 Introduction

14.2 Optimal Control and the Bellman Equation

14.3 Stability Analysis of Discrete-Time Nonlinear Systems

14.4 Optimal Discrete-Time Nonlinear Control

14.5 Inverse Optimal Control for Nonlinear Affine Systems

14.6 Gain, Sector, and Disk Margins of Discrete-Time Optimal Regulators

14.7 Linear-Quadratic Optimal Regulators

14.8 Stability Margins, Meaningful Inverse Optimality, and Control Lyapunov Functions

14.9 Nonlinear Discrete-Time Dynamical Systems with Bounded Disturbances

14.10 Specialization to Dissipative Systems with Quadratic Supply Rates

14.11 A Riccati Equation Characterization for Mixed H2/ℓ1 Performance

14.12 Robust Stability Analysis of Nonlinear Uncertain Discrete-Time Systems

14.13 Problems

14.14 Notes and References

Bibliography

Index

The users who browse this book also browse