Neural Approximations for Optimal Control and Decision

Chapter 1. The Basic Infinite-Dimensional or Functional Optimization Problem.- Chapter 2. From Functional Optimization to Nonlinear Programming by the Extended Ritz Method.- Chapter 3. Some Families of FSP Functions and Their Properties.- Chapter 4. Design of Mathematical Models by Learning from Data and FSP Functions.- Chapter 5. Numerical Methods for Integration and Search for Minima.- Chapter 6. Deterministic Optimal Control Over a Finite Horizon.- Chapter 7. Stochastic Optimal Control with Perfect State Information over a Finite Horizon.- Chapter 8. Stochastic Optimal Control with Imperfect State Information over a Finite Horizon.- Chapter 9. Team Optimal Control Problems.- Chapter 10. Optimal Control Problems over an Infinite Horizon.- Index.