Introduction to Optimal Control Theory

I Introduction and Motivation.- 1 Basic Concepts.- 2 Mathematical Formulation of the Control Problem.- 3 Controllability.- 4 Optimal Control.- 5 The Rocket Car.- Exercises.- Notes.- II Controllability.- 1 Introduction: Some Simple General Results.- 2 The Linear Case.- 3 Controllability for Nonlinear Autonomous Systems.- 4 Special Controls.- Exercises.- Appendix: Proof of the Bang-Bang Principle.- III Linear Autonomous Time-Optimal Control Problems.- 1 Introduction: Summary of Results.- 2 The Existence of a Time-Optimal Control; Extremal Controls; the Bang-Bang Principle.- 3 Normality and the Uniqueness of the Optimal Control.- 4 Applications.- 5 The Converse of the Maximum Principle.- 6 Extensions to More General Problems.- Exercises.- IV Existence Theorems for Optimal Control Problems.- 1 Introduction.- 2 Three Discouraging Examples. An Outline of the Basic Approach to Existence Proofs.- 3 Existence for Special Control Classes.- 4 Existence Theorems under Convexity Assumptions.- 5 Existence for Systems Linear in the State.- 6 Applications.- Exercises.- Notes.- V Necessary Conditions for Optimal Controls-The Pontryagin Maximum Principle.- 1 Introduction.- 2 The Pontryagin Maximum Principle for Autonomous Systems.- 3 Applying the Maximum Principle.- 4 A Dynamic Programming Approach to the Proof of the Maximum Principle.- 5 The PMP for More Complicated Problems.- Exercises.- Appendix to Chapter V-A Proof of the Pontryagin Maximum Principle.- Mathematical Appendix.