Summary Proportional‐integral‐derivative (PID) structured controller is the most popular
class of industrial control but still could not be appropriately exploited in gain‐scheduling …

This paper proposes an iterative linear matrix inequality (LMI) method for tuning the
parameters of multi-input multi-output (MIMO) proportional–integral–derivative (PID) …

The integration of advanced linear parameter-varying and classical proportional–integral–
derivative control methods has attracted great attention in control of nonlinear dynamic …

This study considers the problem of designing a multi‐input and multi‐output (MIMO)
proportional‐integral‐derivative (PID) controller via direct optimal or suboptimal linear …

In control practices, problems of parametric or time-varying uncertainties must be dealt with.
Robust control based on norm theory and convex and non-convex optimization algorithms is …

This paper develops a robust gain-scheduled proportional–integral–derivative (PID)
controller design method for a linear-parameter-varying (LPV) system with parametric …

Nowadays, the demand for qualified engineers in novel model-based controller design
techniques is rapidly increasing. Therefore, it is necessary to include these up-to-date …

Many real world control systems usually track several control objectives, simultaneously. At
the moment, it is desirable to meet all specified goals using the controllers with simple …

We formulate multi‐input multi‐output proportional integral derivative controller design as an
optimization problem that involves nonconvex quadratic matrix inequalities. We propose a …

Robust Gain-Scheduling (RGS) control synthesis conditions are developed in this paper.
Differently from most existing literature in gain-scheduling control, the derived conditions …