Dual Control of an Integrator Using Neuro-Dynamic Programming
The dual control problem for an integrator with time-varying gain is reviewed. The neuro-dynamic programming technique of approximate policy iteration is explained. It is shown how a version of this technique, which employs a Gaussian radial basis function network, can be used to calculate a good sub-optimal dual controller for the integrator. This controller performs much better than the certaint