The role of signal processing methods in the robust design of predictive control
Automatica (Journal of IFAC)
On robust stabilization regions of unstructured uncertainties
Systems & Control Letters
Improved relay auto-tuning with static load disturbance
Automatica (Journal of IFAC)
Frequency-domain design of PID controllers for stable and unstable systems with time delay
Automatica (Journal of IFAC)
An enhanced PID control strategy for unstable processes
Automatica (Journal of IFAC)
Feedback Control Theory
Predictive functional control based on fuzzy model for heat-exchanger pilot plant
IEEE Transactions on Fuzzy Systems
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This paper presents coprime-factorized model predictive control. The main idea of the proposed approach is in process-output prediction based on a coprime-factorized process model. The proposed approach provides a framework to design the control for a wide range of processes such as: higher order, phase non-minimal, unstable and also multivariable. In the paper the coprime-factorized predictive design methodology was studied and implemented on unstable processes with a time-delay which are very difficult to control. The proposed methodology leads to a simple analytical control law, which results in much better performance than previously known control methods.