An algorithm is proposed for generation of QFT controller bounds to achieve robust tracking specifications. The proposed algorithm uses quadratic constraints and interval plant templates to compute the bounds, and presents several improvements over existing QFT tracking bound generation algorithms. The proposed algorithm (1) guarantees robustness against template inaccuracies, (2) guarantees robustness against phase discretization, (3) provides a posteriori error estimates, (4) is computationally efficient, achieving a reduction in flops and execution time, typically by 1-2 orders of magnitude. The algorithm is demonstrated on an aircraft example having five uncertain parameters. (C) 2001 .
A computationally efficient method for automatic synthesis of quantitative feedback theory (QFT)-bas...
In several applications of quantitative feedback theory (QFT) approach to robust controller synthesi...
The feedback control structures are required in the presence of any kind of uncertainty. The benefit...
An algorithm is proposed for generation of QFT controller bounds to achieve robust tracking specific...
Algorithms ale presented for generation of QFT controller bounds to achieve robust sensitivity reduc...
Simultaneous meeting of different-nature feedback control specifications requires special attention,...
This paper proposes an optimization algorithm for the automatic design of robust PID controllers usi...
We propose a simple optimisation algorithm for designing fixed-structure controllers for highly-unce...
The paper presents an overview of a mathematical and computational enhancement of Horowitz's QFT des...
Abstract: Robust controller synthesis is of great practical interest and its automation is a key con...
This paper describes an analytical formulation to compute quantitative feedback theory (QFT) bounds ...
In this paper we proposed a new control method based on Quantitative Feedback Theory (QFT) to design...
Due to the character of the original source materials and the nature of batch digitization, quality ...
A numerical algorithm for computing necessary conditions for performance specifications is develop...
This paper considers robust control design for single-loop compact disc mechanisms. The design probl...
A computationally efficient method for automatic synthesis of quantitative feedback theory (QFT)-bas...
In several applications of quantitative feedback theory (QFT) approach to robust controller synthesi...
The feedback control structures are required in the presence of any kind of uncertainty. The benefit...
An algorithm is proposed for generation of QFT controller bounds to achieve robust tracking specific...
Algorithms ale presented for generation of QFT controller bounds to achieve robust sensitivity reduc...
Simultaneous meeting of different-nature feedback control specifications requires special attention,...
This paper proposes an optimization algorithm for the automatic design of robust PID controllers usi...
We propose a simple optimisation algorithm for designing fixed-structure controllers for highly-unce...
The paper presents an overview of a mathematical and computational enhancement of Horowitz's QFT des...
Abstract: Robust controller synthesis is of great practical interest and its automation is a key con...
This paper describes an analytical formulation to compute quantitative feedback theory (QFT) bounds ...
In this paper we proposed a new control method based on Quantitative Feedback Theory (QFT) to design...
Due to the character of the original source materials and the nature of batch digitization, quality ...
A numerical algorithm for computing necessary conditions for performance specifications is develop...
This paper considers robust control design for single-loop compact disc mechanisms. The design probl...
A computationally efficient method for automatic synthesis of quantitative feedback theory (QFT)-bas...
In several applications of quantitative feedback theory (QFT) approach to robust controller synthesi...
The feedback control structures are required in the presence of any kind of uncertainty. The benefit...