Self-adjustable orthogonal digital filters for system identification and optimisation

The paper describes the application of orthogonal systems of functions to the problem of designing digital filters with independent adjustable parameters for the open-loop control of processes. A computational algorithm is given for designing the digital filter and is applied to the problems of process identification and the determination of discrete compensators for optimum closed-loop control systems. Digital-simulation methods are employed to obtain experimental results to illustrate the techniques.