Linear Quadratic Control (LQ Control) investigated in the department consists in minimization of quadratic criterion by dynamic programming. The adaptive character of the control is achieved by addition of on-line identification of controlled system. In the initializing step of the identification, the structure of identified model is determined and the first setting of model parameters is done. During the run, the identification improves individual model parameters.
Computer-aided design and self-tuning
The challenge of the research is a design of self-tuning for the parameters of Linear Quadratic Gaussian Controllers (LQG Controllers). The tuning is a complex process composed of several steps starting with the plant analysis and ending with the verification of the designed controller.