A lot of automatic feedback control and learning tasks carried out on many dynamical
systems still fundamentally rely on a form of proportional–integral–derivative (PID) control …

摘要从模糊优化控制, 神经网络优化控制, 模糊神经网络优化控制, 基于智能优化方法的优化控制
等角度, 对国内外与智能优化控制(Intelligent optimized control, IOC) 密切相关的研究进行了 …

This paper presents a stochastic, multi-parameters, divergence optimization method for the
auto-tuning of proportional–integral–derivative (PID) controllers according to a fractional …

A hydraulic turbine regulating system (HTRS) is one of the most important components of
hydropower plant, which plays a key role in maintaining safety, stability and economical …

A multiobjective optimisation engineering design (MOED) methodology for PI controller
tuning in multivariable processes is presented. The MOED procedure is a natural approach …

In this work, we address the evaluation of design concepts and the analysis of multiple
Pareto fronts in multi-criteria decision-making using level diagrams. Such analysis is …

This paper presents a stochastic multi-parameters divergence method for online parameter
optimization of fractional-order proportional–integral–derivative (PID) controllers. The …

Two multi-objective optimization based tuning methods for model predictive control are
proposed. Both methods consider the minimization of the error between the closed-loop …

A tuning procedure for a model predictive controller (MPC) is presented for multi-input multi-
output systems. The approach consists of two steps based on a hybrid method: the goal …

Background Model based design plays a fundamental role in synthetic biology. Exploiting
modularity, ie using biological parts and interconnecting them to build new and more …