In this chapter, the use of principles of reinforcement learning to design a new class of feedback controllers for continuous-time dynamical systems is presented. This chapter also reviews current technology, showing that for discrete-time dynamical systems, reinforcement learning methods allow the solution of HJB design equations online, forward in time and without knowing the full system dynamics.
Reinforcement learning and optimal control of discrete-time systems: Using natural decision methods to design optimal adaptive controllers, Page 1 of 2
< Previous page Next page > /docserver/preview/fulltext/books/ce/pbce081e/PBCE081E_ch2-1.gif /docserver/preview/fulltext/books/ce/pbce081e/PBCE081E_ch2-2.gif