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For a first-year graduate-level course on nonlinear systems. It may also be used for self-study or reference by engineers and applied mathematicians. The text is written to build the level of mathematical sophistication from chapter to chapter. It has been reorganized into four parts: Basic analysis, Analysis of feedback systems, Advanced analysis, and Nonlinear feedback control.
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For a first-year graduate-level course on nonlinear systems. It may also be used for self-study or reference by engineers and applied mathematicians. The text is written to build the level of mathematical sophistication from chapter to chapter. It has been reorganized into four parts: Basic analysis, Analysis of feedback systems, Advanced analysis, and Nonlinear feedback control.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Pearson Education Limited
- 3 ed
- Seitenzahl: 560
- Erscheinungstermin: 8. November 2013
- Englisch
- Abmessung: 279mm x 215mm x 27mm
- Gewicht: 1372g
- ISBN-13: 9781292039213
- ISBN-10: 1292039213
- Artikelnr.: 49560103
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Pearson Education Limited
- 3 ed
- Seitenzahl: 560
- Erscheinungstermin: 8. November 2013
- Englisch
- Abmessung: 279mm x 215mm x 27mm
- Gewicht: 1372g
- ISBN-13: 9781292039213
- ISBN-10: 1292039213
- Artikelnr.: 49560103
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
All chapters conclude with Exercises.
1. Introduction.
Nonlinear Models and Nonlinear Phenomena. Examples.
2. Second-Order Systems.
Qualitative Behavior of Linear Systems. Multiple Equilibria. Qualitative
Behavior Near Equilibrium Points. Limit Cycles. Numerical Construction of
Phase Portraits. Existence of Periodic Orbits. Bifurcation. Systems.
3. Fundamental Properties.
Existence and Uniqueness. Continuos Dependence on Initial Conditions and
Parameters. Differentiability of solutions and Sensitivity Equations.
Comparison Principle.
4. Lyapunov Stability.
Autonomous Systems. The Invariance Principle. Linear Systems and
Linearization. Comparison Functions. Nonautonomous Systems. Linear
Time-Varying Systems and Linearization. Converse Theorems. Boundedness and
Ultimate Boundedness. Input-to-State Stability.
5. Input-Output Stability.
L Stability. L Stability of State Models. L2 Gain. Feedback Systems: The
Small-Gain Theorem.
6. Passivity.
Memoryless Functions. State Models. Positive Real Transfer Functions. L2
and Lyapunov Stability. Feedback Systems: Passivity Theorems.
7. Frequency-Domain Analysis of Feedback Systems.
Absolute Stability. The Describing Function Method.
8. Advanced Stability Analysis.
The Center Manifold Theorem. Region of Attraction. Invariance-like
Theorems. Stability of Periodic Solutions.
9. Stability of Perturbed Systems.
Vanishing Pertubation. Nonvanishing Pertubation. Comparison Method.
Continuity of Solutions on the Infinite Level. Interconnected Systems.
Slowly Varying Systems.
10. Perturbation Theory and Averaging.
The Perturbation Method. Perturbation on the Infinite Level. Periodic
Perturbation of Autonomous Systems. Averaging. Weekly Nonlinear
Second-Order Oscillators. General Averaging.
11. Singular Perturbations.
The Standard Singular Perturbation Model. Time-Scale Properties of the
Standard Model. Singular Perturbation on the Infinite Interval. Slow and
Fast Manifolds. Stability Analysis.
12. Feedback Control.
Control Problems. Stabilization via Linearization. Integral Control.
Integral Control via Linearization. Gain Scheduling.
13. Feedback Linearization.
Motivation. Input-Output Linearization. Full-State Linearization. State
Feedback Control.
Index.
1. Introduction.
Nonlinear Models and Nonlinear Phenomena. Examples.
2. Second-Order Systems.
Qualitative Behavior of Linear Systems. Multiple Equilibria. Qualitative
Behavior Near Equilibrium Points. Limit Cycles. Numerical Construction of
Phase Portraits. Existence of Periodic Orbits. Bifurcation. Systems.
3. Fundamental Properties.
Existence and Uniqueness. Continuos Dependence on Initial Conditions and
Parameters. Differentiability of solutions and Sensitivity Equations.
Comparison Principle.
4. Lyapunov Stability.
Autonomous Systems. The Invariance Principle. Linear Systems and
Linearization. Comparison Functions. Nonautonomous Systems. Linear
Time-Varying Systems and Linearization. Converse Theorems. Boundedness and
Ultimate Boundedness. Input-to-State Stability.
5. Input-Output Stability.
L Stability. L Stability of State Models. L2 Gain. Feedback Systems: The
Small-Gain Theorem.
6. Passivity.
Memoryless Functions. State Models. Positive Real Transfer Functions. L2
and Lyapunov Stability. Feedback Systems: Passivity Theorems.
7. Frequency-Domain Analysis of Feedback Systems.
Absolute Stability. The Describing Function Method.
8. Advanced Stability Analysis.
The Center Manifold Theorem. Region of Attraction. Invariance-like
Theorems. Stability of Periodic Solutions.
9. Stability of Perturbed Systems.
Vanishing Pertubation. Nonvanishing Pertubation. Comparison Method.
Continuity of Solutions on the Infinite Level. Interconnected Systems.
Slowly Varying Systems.
10. Perturbation Theory and Averaging.
The Perturbation Method. Perturbation on the Infinite Level. Periodic
Perturbation of Autonomous Systems. Averaging. Weekly Nonlinear
Second-Order Oscillators. General Averaging.
11. Singular Perturbations.
The Standard Singular Perturbation Model. Time-Scale Properties of the
Standard Model. Singular Perturbation on the Infinite Interval. Slow and
Fast Manifolds. Stability Analysis.
12. Feedback Control.
Control Problems. Stabilization via Linearization. Integral Control.
Integral Control via Linearization. Gain Scheduling.
13. Feedback Linearization.
Motivation. Input-Output Linearization. Full-State Linearization. State
Feedback Control.
Index.
All chapters conclude with Exercises.
1. Introduction.
Nonlinear Models and Nonlinear Phenomena. Examples.
2. Second-Order Systems.
Qualitative Behavior of Linear Systems. Multiple Equilibria. Qualitative
Behavior Near Equilibrium Points. Limit Cycles. Numerical Construction of
Phase Portraits. Existence of Periodic Orbits. Bifurcation. Systems.
3. Fundamental Properties.
Existence and Uniqueness. Continuos Dependence on Initial Conditions and
Parameters. Differentiability of solutions and Sensitivity Equations.
Comparison Principle.
4. Lyapunov Stability.
Autonomous Systems. The Invariance Principle. Linear Systems and
Linearization. Comparison Functions. Nonautonomous Systems. Linear
Time-Varying Systems and Linearization. Converse Theorems. Boundedness and
Ultimate Boundedness. Input-to-State Stability.
5. Input-Output Stability.
L Stability. L Stability of State Models. L2 Gain. Feedback Systems: The
Small-Gain Theorem.
6. Passivity.
Memoryless Functions. State Models. Positive Real Transfer Functions. L2
and Lyapunov Stability. Feedback Systems: Passivity Theorems.
7. Frequency-Domain Analysis of Feedback Systems.
Absolute Stability. The Describing Function Method.
8. Advanced Stability Analysis.
The Center Manifold Theorem. Region of Attraction. Invariance-like
Theorems. Stability of Periodic Solutions.
9. Stability of Perturbed Systems.
Vanishing Pertubation. Nonvanishing Pertubation. Comparison Method.
Continuity of Solutions on the Infinite Level. Interconnected Systems.
Slowly Varying Systems.
10. Perturbation Theory and Averaging.
The Perturbation Method. Perturbation on the Infinite Level. Periodic
Perturbation of Autonomous Systems. Averaging. Weekly Nonlinear
Second-Order Oscillators. General Averaging.
11. Singular Perturbations.
The Standard Singular Perturbation Model. Time-Scale Properties of the
Standard Model. Singular Perturbation on the Infinite Interval. Slow and
Fast Manifolds. Stability Analysis.
12. Feedback Control.
Control Problems. Stabilization via Linearization. Integral Control.
Integral Control via Linearization. Gain Scheduling.
13. Feedback Linearization.
Motivation. Input-Output Linearization. Full-State Linearization. State
Feedback Control.
Index.
1. Introduction.
Nonlinear Models and Nonlinear Phenomena. Examples.
2. Second-Order Systems.
Qualitative Behavior of Linear Systems. Multiple Equilibria. Qualitative
Behavior Near Equilibrium Points. Limit Cycles. Numerical Construction of
Phase Portraits. Existence of Periodic Orbits. Bifurcation. Systems.
3. Fundamental Properties.
Existence and Uniqueness. Continuos Dependence on Initial Conditions and
Parameters. Differentiability of solutions and Sensitivity Equations.
Comparison Principle.
4. Lyapunov Stability.
Autonomous Systems. The Invariance Principle. Linear Systems and
Linearization. Comparison Functions. Nonautonomous Systems. Linear
Time-Varying Systems and Linearization. Converse Theorems. Boundedness and
Ultimate Boundedness. Input-to-State Stability.
5. Input-Output Stability.
L Stability. L Stability of State Models. L2 Gain. Feedback Systems: The
Small-Gain Theorem.
6. Passivity.
Memoryless Functions. State Models. Positive Real Transfer Functions. L2
and Lyapunov Stability. Feedback Systems: Passivity Theorems.
7. Frequency-Domain Analysis of Feedback Systems.
Absolute Stability. The Describing Function Method.
8. Advanced Stability Analysis.
The Center Manifold Theorem. Region of Attraction. Invariance-like
Theorems. Stability of Periodic Solutions.
9. Stability of Perturbed Systems.
Vanishing Pertubation. Nonvanishing Pertubation. Comparison Method.
Continuity of Solutions on the Infinite Level. Interconnected Systems.
Slowly Varying Systems.
10. Perturbation Theory and Averaging.
The Perturbation Method. Perturbation on the Infinite Level. Periodic
Perturbation of Autonomous Systems. Averaging. Weekly Nonlinear
Second-Order Oscillators. General Averaging.
11. Singular Perturbations.
The Standard Singular Perturbation Model. Time-Scale Properties of the
Standard Model. Singular Perturbation on the Infinite Interval. Slow and
Fast Manifolds. Stability Analysis.
12. Feedback Control.
Control Problems. Stabilization via Linearization. Integral Control.
Integral Control via Linearization. Gain Scheduling.
13. Feedback Linearization.
Motivation. Input-Output Linearization. Full-State Linearization. State
Feedback Control.
Index.