Approximation of stable systems by laguerre filters
Automatica (Journal of IFAC)
Robust control design: a polynomial approach
Robust control design: a polynomial approach
Orthonormal basis functions for modelling continuous-time systems
Signal Processing
The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs
SIAM Journal on Optimization
Brief Virtual reference feedback tuning: a direct method for the design of feedback controllers
Automatica (Journal of IFAC)
| Hi-index | 22.14 |
A new approach for robust fixed-order H"~ controller design by convex optimization is proposed. Linear time-invariant single-input single-output systems represented by nonparametric models in the frequency domain are considered. It is shown that the H"~ robust performance condition can be represented by a set of linear or convex constraints with respect to the parameters of a linearly parameterized controller in the Nyquist diagram. Systems with time-delay and with multimodel and frequency-domain uncertainty can be considered straightforwardly in the proposed approach. The proposed method is compared with the standard H"~ control problem by a simulation example on an unstable system.