%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Symmetries and Conservation Laws in Optimal Control Systems %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% A.M. Gugushvili, O.G. Khutsishvili, V.K. Sesadze, G.N. Dalakishvili, N.A. Mchedlishvili, T.G. Khutsishvili, V.M. Kekenadze, D.F.M. Torres, Symmetries and Conservation Laws in Optimal Control Systems (book in Georgian), Georgian Technical University, Tbilisi, 2003. (248 pp, ISBN 99940-14-53-6) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Abstract The application of symmetry and conservation laws in optimal control systems is regarded in the present book. Particularly, variational methods, optimal control, and the Pontryagin maximum principle. The problem of synchronization of systems is considered as a problem of optimal control. Practical examples of using the obtained theoretical results are given. The book is intended for a wide reading public. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Contents Introduction Chapter I. Group properties of differential equations and conservation laws 1.1. Introduction 1.2. Structure, symmetry and conservation laws 1.3. Main definition of continuous groups 1.4. Noether theorem and conservation laws Chapter II. Variation principles of optimal control in Lagrange systems 2.1 Introduction 2.2. Lagrange systems 2.3. Symmetry in dynamic systems 2.4. Integration and decrease of order by means of one-parameter group 2.5. Principle of symmetry in variation methods of optimal control Chapter III. Variation principle of optimal control in Hamiltonian systems 3.1. Introduction 3.2. Hamiltonian systems 3.3. Invariants of the system and methods of their construction 3.4. Noether theorem and Hamiltonian systems 3.5. Control of Hamiltonian systems and Noether theorem 3.6. Stability of Hamiltonian systems 3.7. Averaging theory in Hamiltonian systems Chapter IV. E. Noether Theorem and Pontryagin maximum principle 4.1. Introduction 4.2. Maximum principle 4.3. Symmetry and maximum principle 4.4. Pontryagin maximum principle and Lax method 4.5. On the Noether Theorem for Optimal Control 4.5.1 Noether Theorem with no transformation of time-variable 4.5.2 Noether Theorem with transformation of the time-variable Chapter V. Principle of symmetry and stochastic maximum principle 5.1. Introduction 5.2. Stochastic maximum principle for linear convex optimal control 5.3. Stochastic models (equations) for control systems 5.4. Symmetry and principle of stochastic maximum Chapter VI. Problems of optimal control of real objects based on symmetry and conservation laws 6.1. Introduction 6.2. Optimal control and power systems 6.3. Optimal control of cosmic airship in the environ of collinear vibration point 6.4. Optimal synthesis of optoelectronic seismograph structure Chapter VII. Principle of symmetry and synchronization phenomenon in power systems 7.1. Introduction 7.2. Synchronization and theory of optimal control 7.3. Canonical transformations of Hamiltonian systems (system-action-angle) 7.4. Synchronization and adiabatic invariants 7.5. Synchronization and perturbation theory 7.5.1. Averaging principle 7.5.2. Synchronization and averaging principle 7.6. Synchronization and theory of catastrophes 7.7. Synchronization in power systems 7.8. Theory of catastrophes in power resources References Appendixes