Practical control problems often deal with uncertain systems depending on parametric and possibly time-varying uncertainties. Quadratic stability theory and recent advances in convex and nonconvex optimisation algorithms provide useful tools to cope with this kind of problems. On the other hand, PID is still the controller most commonly used for industrial problems. In this paper, we consider a certain class of Multi input-multi output linear parameter varying systems which are encountered in practical control problems and we propose a state space parameterisation which allows to convert PI and PID controller synthesis into an LMI or BMI optimisation problem. The proposed technique guarantees uniform exponential stability of the closed loop...
In the paper a new robust guaranteed cost output-feedback gain-scheduled PID controller design techn...
In the paper a generalized guaranteed cost output-feedback robust gain-scheduled PID controller synt...
Abstract: PID controllers have found extensive industrial applications for several decades. Recently...
Practical control problems often deal with uncertain systems depending on parametric and possibly ti...
A linear programming approach is proposed to tune fixed-order linearly parameterized controllers for...
A linear programming approach is proposed to tune fixed-order linearly parameterized controllers for...
Proportional, Integral, and Derivative (PID) and discrete-time Proportional, Summation, and Differen...
Abstract — A robust synthesis algorithm is proposed for a class of uncertain linear parameter varyin...
Nowadays, the demand for qualified engineers in novel model-based controller design techniques is ra...
This paper presents a novel method for constructing controllers for a class of single-input multiple...
This paper introduces a method for controller design of uncertain and parameter-variant piecewise li...
This paper presents the design of a robust multivariable PID controller, which guarantees the stabil...
This paper revisits the problem of robust stability analysis and synthesis for linear parameter vary...
This paper presents a novel method for constructing controllers for a class of single-input multiple...
In this paper, the design of a performance-varying multivariable Proportional-Integral-Derivative (P...
In the paper a new robust guaranteed cost output-feedback gain-scheduled PID controller design techn...
In the paper a generalized guaranteed cost output-feedback robust gain-scheduled PID controller synt...
Abstract: PID controllers have found extensive industrial applications for several decades. Recently...
Practical control problems often deal with uncertain systems depending on parametric and possibly ti...
A linear programming approach is proposed to tune fixed-order linearly parameterized controllers for...
A linear programming approach is proposed to tune fixed-order linearly parameterized controllers for...
Proportional, Integral, and Derivative (PID) and discrete-time Proportional, Summation, and Differen...
Abstract — A robust synthesis algorithm is proposed for a class of uncertain linear parameter varyin...
Nowadays, the demand for qualified engineers in novel model-based controller design techniques is ra...
This paper presents a novel method for constructing controllers for a class of single-input multiple...
This paper introduces a method for controller design of uncertain and parameter-variant piecewise li...
This paper presents the design of a robust multivariable PID controller, which guarantees the stabil...
This paper revisits the problem of robust stability analysis and synthesis for linear parameter vary...
This paper presents a novel method for constructing controllers for a class of single-input multiple...
In this paper, the design of a performance-varying multivariable Proportional-Integral-Derivative (P...
In the paper a new robust guaranteed cost output-feedback gain-scheduled PID controller design techn...
In the paper a generalized guaranteed cost output-feedback robust gain-scheduled PID controller synt...
Abstract: PID controllers have found extensive industrial applications for several decades. Recently...