This paper argues that existing adaptive control algorithms are limited in many practical applications because they lack the inclusion of human intelligence, knowledge, reasoning skills, and human-machine interaction. To solve these problems, an Intelligent Tuning Control (ITC) technique is presented. The TTC technique combines expert system technology and adaptive control techniques and integrates numeric computation with symbolic reasoning. Since most physical systems have uncertainties to some extent, an inexact reasoning method is proposed in the knowledge-based component. The TTC system is implemented using a Lisp-based expert system shell on an IBM PC. The utility of the TTC technique has been positively confirmed by simulation results.