Survey A survey of computational complexity results in systems and control
Automatica (Journal of IFAC)
Design of the low-order controllers by the H∞ criterion: A parametric approach
Automation and Remote Control
Brief paper: Robust PID controller tuning based on the constrained particle swarm optimization
Automatica (Journal of IFAC)
D-decomposition technique state-of-the-art
Automation and Remote Control
A unified approach for sensitivity design of PID controllers in the frequency domain
WSEAS Transactions on Systems and Control
Robust performance characterization of PID controllers in the frequency domain
WSEAS Transactions on Systems and Control
Brief paper: Robust PID controller tuning based on the heuristic Kalman algorithm
Automatica (Journal of IFAC)
Technical communique: H∞ design with fractional-order PDµ controllers
Automatica (Journal of IFAC)
Design and Validation of an ${\mathcal{L}}_{1}$ Adaptive Controller for Mini-UAV Autopilot
Journal of Intelligent and Robotic Systems
Expert Systems with Applications: An International Journal
Hi-index | 22.16 |
This paper considers the problem of synthesizing proportional-integral-derivative (PID) controllers for which the closed-loop system is internally stable and the H"~-norm of a related transfer function is less than a prescribed level for a given single-input single-output plant. It is shown that the problem to be solved can be translated into simultaneous stabilization of the closed-loop characteristic polynomial and a family of complex polynomials. It calls for a generalization of the Hermite-Biehler theorem applicable to complex polynomials. It is shown that the earlier PID stabilization results are a special case of the results developed here. Then a linear programming characterization of all admissible H"~ PID controllers for a given plant is obtained. This characterization besides being computationally efficient reveals important structural properties of H"~ PID controllers. For example, it is shown that for a fixed proportional gain, the set of admissible integral and derivative gains lie in a union of convex sets.