On Approximate Structure of the Time-optimal System Design Algorithm

The process of analog system design has been formulated on the basis of the control theory application. This approach generalizes the design process and produces the different design trajectories inside the same optimization procedure. Numerical examples show that the potential computer time gain of the optimal design strategy with respect to the traditional design strategy increases when the size and complexity of the system increase. However the potential time gain can be realized only in the time-optimal algorithm that is the combination of the different design strategies. An additional acceleration effect of the design process serves as the basis of the time-optimal algorithm construction. The optimal position of the switching points between different design trajectories can be obtained on the basis of the Lyapunov function of the design process as the minimization of its time derivative.