<p>This IMA Volume in Mathematics and its Applications NONSMOOTH ANALYSIS AND GEOMETRIC METHODS IN DETERMINISTIC OPTIMAL CONTROL is based on the proceedings of a workshop that was an integral part of the 1992-93 IMA program on "Control Theory. " The purpose of this workshop was to concentrate on pow
Geometric control and nonsmooth analysis
β Scribed by Fabio Ancona (editor), Professor Alberto Bressan (editor), Piermarco Cannarsa (editor), Francis H Clarke (editor), Peter R Wolenski (editor)
- Publisher
- World Scientific Publishing Company
- Year
- 2008
- Tongue
- English
- Leaves
- 377
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The aim of this volume is to provide a synthetic account of past research, to give an up-to-date guide to current intertwined developments of control theory and nonsmooth analysis, and also to point to future research directions.
β¦ Table of Contents
CONTENTS
Preface
Conference Committees
Multiscale Singular Perturbations and Homogenization of Optimal Control Problems 0. Alvarez, M. Bardi and C. Marchi
1. Introduction
2. Standing assumptions
3. Ergodicity, stabilization and the effective problem
3.1. Ergodicity and the effective Hamiltonian
3.2. Stabilization and the eflective initial data
4. Regular perturbation of singular perturbation problems
5. Singular perturbations with multiple scales
5.1. The three scale case
5.2. The general case
6. Iterated homogenization for coercive equations
7. Examples
7.1. Singular perturbation of a differential game
7.2. Homogenization of a deterministic optimal control problem
7.3. Multiscale singular perturbation under a nonresonance condition
References
Patchy Feedbacks for Stabilization and Optimal Control: General Theory and Robustness Properties F. Ancona and A. Bressan
1. Introduction
2. Patchy vector fields and patchy feedbacks
3. Stabilizing feedback controls
4. Nearly optimal patchy feedbacks
5. Robustness
6. Stochastic perturbations
References
Sensitivity of Control Systems with Respect to Measure- Valued Coefficients Z. Artstein
1. Introduction
2. Standing hypotheses
3. The chattering parameters model
4. The Prohorov metric
5 . Sensitivity for relaxed controls
6. A matching result
7. Sensitivity for chattering parameters
8. Remarks and examples
References
Systems with Continuous Time and Discrete Time Components A. Bacciotti
1. Introduction
2. Description of the model
3. Oscillatory systems: an example
4. Stability notions
5. A sufficient condition for stability
6. Sufficient conditions for asymptotic stability
References
A Review on Stability of Switched Systems for Arbitrary Switchings U. Boscain
1. Introduction
2. General properties of multilinear systems
3. Common Lyapunov functions
4. Two-dimensional bilinear systems
4.1. The diagonalisable case
4.1.1. Normal forms in the diagonalizable case
4.1.2. Stability conditions in the diagonalizable case
4.2. The nondiagonalizable case
4.2.1. Normal forms in the nondiagonalizable case
4.2.2. Stability conditions in the nondiagonalizable case
5. An open problem
Acknowledgments
References
Regularity Properties of Attainable Sets under State Constraints P. Cannarsa, M. Castelpietra and P. Cardaliaguet
1. Introduction
2. Maximum principle under state constraints
3. Perimeter estimates for the attainable set
References
A Generalized Hopf-Lax Formula: Analytical and Approxi- mations Aspects I. Capuzzo Dolcetta
1. Introduction
2. A generalized eikonal equation
3. The generalized Hopf-Lax formula
4. The Hopf-Lax formula for the Heisenberg Hamiltonian
4.1. A singular perturbation problem on the Heisenberg group
4.2. Convergence rate of finite diflerences approximation
References
Regularity of Solutions to One-Dimensional and Multi- Dimensional Problems in the Calculus of Variations F.H. Clarke
1. Introduction
2. The theorem of De Giorgi
3. Hilbert-Haar theory
4. New boundary hypotheses
4.1. Interior regularity
4.2. Continuity at the boundary
4.3. More general Lagrangians
5. The one-dimensional case
References
Stability Analysis of Sliding Mode Controllers F.H. Clarke and R.B. Vinter
1. Introduction
2. System Description
3. Lyapunov Functions for Sliding Mode Control
4. Sufficient Conditions for Stability
5 . An Example
References
Generalized Differentiation of Parameterized Families of Trajectories M. Garavello, E. Girejko and B. Piccoli
1. Introduction
2. Basic definitions
3. Approach (a)
3.1. Technical proofs
4. Approach (b)
5. Applications of the main results
Acknowledgments
References
Sampled-Data Redesign for Nonlinear Multi-Input Systems L. Griine and K. Worthmann
1. Introduction
2. Problem formulation
3. Fliess series expansion
4. Necessary and sufficient conditions
5. Examples
References
On the Definition of Trajectories Corresponding to Generali- zed Controls on the Heisenberg Group P. Mason
1. Introduction
1.1. Previous approaches and results
2. Functional spaces and topologies
3. The Heisenberg example
4. Conclusion
Acknowledgements
References
Characterization of the State Constrained Bilateral Minimal Time Function C. Nour
1. Introduction
2. Main result
References
Existence and a Decoupling Technique for the Neutral Prob- lem of Bolza with Multiple Varying Delays N.L. Ortiz
1. Introduction
2. Main Assumptions and Preliminaries
3. Existence of Solutions
4. The Decoupling Technique
5 . Conclusion
References
Stabilization Problem for Nonholonomic Control Systems L. Rifford
1. Introduction
1.1. Stabilization of nonholonomic control systems
1.2. Stabilization problem for nonholonomic distributions
1.3. Two obstructions
2 . Examples
2.1. The Nonholonomic integrator
2.2. The Riemannian case
3. Smooth repulsive stabilization
3.1. SRSz,s vector fields
3.2. Existence results of SRSz feedbacks
3.3. Existence results of SRSz sections
3.4. A Nonholonomic dream
References
Proximal Characterization of the Reachable Set for a Discon- tinuous Differential Inclusion V.R. Rios and P.R. Wolenski
1. Introduction
2. DL dynamics and invariance
3. Main result
References
Linear-Convex Control and Duality R.T. Rockafellar and G. Goebel
1. Introduction
2. Duality in finite horizon optimal control
2.1. The (finite horizon) Linear- Convex Regulator
2.2. Convex conjugate functions
2.3. General duality framework
2.4. The primal and the dual value functions
2.5. The Hamiltonian and open-loop optimality conditions
2.6. Hamilton-Jacobi results
2.7. Feedback optimality conditions
3. Regularity of the value function
3.1. Convex-valued and single-valued optimal feedback
3.2. Convex functions with locally Lipschitz gradients
3.3. Locally Lipschitz continuous optimal feedback
4. Infinite horizon problems
Acknowledgments
References
Strong Optimality of Singular Trajectories G. Stefani
1. Introduction
2. Notations and preliminary results
2.1. Notations
2.2. The Weak Maximum Principle
2.3. Geometry near singular extremals of the first kind
3. Hamiltonian approach to strong local optimality
3.1. The Hamiltonian x
4. Sufficient conditions from Hamiltonian viewpoint
4.1. Remarks on Theorem 4.1
5. The extended second variation
5.1. Reduction to a non-singular problem
6. Coercivity of J&
6.1. Proof of the Main Theorem
6.2. A particular case
7. Final remarks
References
High-Order Point Variations and Generalized Differentials H. Sussmann
1. Introduction
1.1. Preliminary remarks on notation
1.2. Approximate Generalized Dinerential Quotients
1.2.1. Properties of AGDQs
1.2.2. Uniform AGDQs
1.3. lβransversality of cones and multicones.
1.4. The nonseparation theorem.
2. Flows, trajectories, and generalized differentials of flows.
2.1. State space bundles and their sections
2.2. Flows and trajectories
2.2.1. Comparison of maps and flows
2.2.2. Dajec tories
2.3. AGDQs of ftows along trajectories
2.3.1. Compatible selections
2.3.2. Fields of variational vectors and adjoint covectors
3. Variations, impulse variations, summability
3.1. Variations of set-valued maps
3.2. Infinitesimal impulse variations
3.3. Summability
4. The AGDQ maximum principle
5. Generalized Bianchini-Stefani IIVs and the summability theorem
5.1. Times of right and left regularity
5.2. GBS IIVs
5.3. The summability theorem for GBS IIVs
6. Proof of Theorem 5.1
References
List of Partcipants
Author Index
π SIMILAR VOLUMES
Of all the scientific or mathematical books that I have reviewed or even read, I would place this book at the position of number one (1) in excellence, creativity, genius, inspiration, intuition, and usefulness. It has inspired some of my own best research and I often cite it in presenting papers
A clear and succinct presentation of the essentials of this subject, together with some of its applications and a generous helping of interesting exercises. Following an introductory chapter with a taste of what is to come, the next three chapters constitute a course in nonsmooth analysis and identi
<p>In the last decades the subject of nonsmooth analysis has grown rapidly due to the recognition that nondifferentiable phenomena are more widespread, and play a more important role, than had been thought. In recent years, it has come to play a role in functional analysis, optimization, optimal des