Optimal adaptive control with a nonsearching self-adjusting system incorporating a learning reference model

The paper is concerned with design of optimal control with incomplete data and that of designing optimal adaptive control by using the separation theorem. Both problems are decomposed among hierarchical levels and the direct Lyapunov method is used for studying stochastic motion stability in an adaptive control system.