Kemal Uçak

Adaptive MIMO fuzzy PID controller based on Runge-Kutta model

Nonlinear multi-input multi-output (MIMO) systems are difficult to control because of input–output coupling, measurement noise, and parameter variations. This study proposes a Runge–Kutta (RK) model-based predictive adaptive MIMO fuzzy proportional–integral–derivative (PID) controller for nonlinear dynamical systems. A...

A novel adaptive nonlinear controller based on Runge–Kutta support vector machines: a data-driven approach