Towards intelligent PID control
Automatica (Journal of IFAC)
Tuning of PID-type controllers for stable and unstable systems with time delay
Automatica (Journal of IFAC)
A method for the auto-calibration of PID controllers
Automatica (Journal of IFAC)
Modeling and design monitor agent using layered control architecture
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Non-interacting fuzzy control system design for distillation columns
ACMOS'05 Proceedings of the 7th WSEAS international conference on Automatic control, modeling and simulation
Automatica (Journal of IFAC)
Brief New design relations for 2-DOF PID-like control systems
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
Most approaches to feedback synthesis are numerical design techniques that produce their results in form of numerical values for the controller parameters. In contrast, analytical design techniques produce the controller parameters as explicit expressions that are a function of open-loop system parameters and the desired closed loop. Advantages include fast commissioning in terms of physical system parameters, gain scheduling without extra design effort and analytical sensitivity insights. So far, it has not been known how to derive analytical PID expressions for higher than second-order systems. The paper proposes a technique to address this problem, analyses its properties, demonstrates computational simplicity and shows that its performance is comparable to known numerical techniques.