Nicola Elia, Munther A. Dahleh, "Computational Methods for Controller Design"

 

Springer-Verlag London Limited, 1998
ISBN 1-85233-075-9

 

1. Introduction (1)
1.1. Background and Motivation (1)
1.2. Multi-Objective Control as Convex Optimization (2)
1.3. Solutions of Infinite Dimensional Convex Problems (2)
1.4. Main Contributions (6)
2. Mathematical Preliminaries (9)
2.1. Normed Spaces (9)
2.2. Convex Cones (12)
2.3. Convergence of Sequences (13)
2.4. Bounded Linear Operators (13)
2.5. Systems as Linear Operators on ℓn∞ (15)
2.6. Rational Matrices (17)
2.7. Notation Summary (20)
3. Multi-Objective Control (21)
3.1. Control Problem Setup (21)
3.2. Feasibility Constraints (22)
3.3. Control Objectives (26)
4. Generalized Linear Programs and Duality Theory (31)
4.1. Control Problems as Linear Programs (31)
4.2. Duality Theory Results (33)
5. ℓ1 Optimal Control with Constraints on the Step Response (39)
5.1. Problem Definition (39)
5.2. The Finite-Horizon Case (40)
5.3. ℓ1 Control with Infinite Horizon Time-domain Constraints (43)
5.4. Example (46)
6. ℓ1 - Minimization with Magnitude Constraints in the Frequency Domain (53)
6.1. Problem Statement (54)
6.2. Primal-Dual Formulation (56)
6.3. Linear Programming Approximation (59)
7. Mixed H2/ℓ1 Control (73)
7.1. Problem Statement (73)
7.2. Dual Problem (74)
7.3. Finite Dimensional Dual Approximation (78)
8. A New Computational Method for ℓ1 (89)
8.1. Introduction (89)
8.2. Notation and Problem Setup (91)
8.3. Approximation Method (93)
8.4. Convergence Properties (94)
8.5. Example (100)
9. Nonlinear Controllers for Minimizing the Worst-Case Peak to Peak Gain (105)
9.1. Notation and Preliminaries (107)
9.2. Problem Setup (108)
9.3. Finite Horizon Full State Feedback (108)
9.4. Infinite Horizon Full State Feedback (114)
9.5. Examples (118)
10. Conclusions (131)
A. Proofs of Results in Chapter 5 (133)
B. Proofs of Results in Chapter 6 (137)
C. Proofs of Results in Chapter 8 (139)
D. Proofs of Results in Chapter 9 (143)
References (151)

 

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