Abstract: In this paper a cascade-connected self-tuning controller based on dynamic coulped characteristics for multi-variable nonlinear system is proposed. A selfLearning algorithm based on dynamic sensitivity matrix and on-line measurement is also given. An intelligent gradient approach is used to determine the step length of the iterative self-learning algorithm. By using the control strategies given in this paper the process control for complex plant such as chemical reactors can successfully be solved.