Control Performance Management in Industrial Automation provides a coherent and self-
contained treatment of a group of methods and applications of burgeoning importance to the …

The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology impacts all areas of the …

A nonlinear internal model control (NIMC) strategy based on neural network models is
proposed for SISO processes. The neural network model is identified from input—output …

Bioreactor control has become very important in recent years due to the difficulty in
controlling the highly non-linear behaviour associated with such systems. Model predictive …

This work concerns the synthesis of discrete‐time nonlinear controllers for nonlinear
processes that make the closed‐loop system linear in an input/output sense. The synthesis …

Today,(engine) downsizing using turbocharging appears as a major way in reducing fuel
consumption and pollutant emissions of spark ignition (SI) engines. In this context, an …

Accurate motion control in the face of disturbances within complex environments remains a
major challenge in robotics. Classical model-based approaches often struggle with …

An on‐line state‐estimation design for multiinput multioutput nonlinear plants, either
observable or detectable, is presented. The design considers a stage of analysis, in which …

In this chapter, the basic theory of feedback linearization is presented and issues of
particular relevance to process control applications are discussed. Two fundamental …

摘要为了提高传统逆系统方法的鲁棒性和抗干扰能力, 提出了基于支持向量机α
阶逆系统方法的非线性内模控制新方法. 该方法利用支持向量机辨识非线性系统的α 阶逆模型 …