Disturbance Rejection: A Main Concern in Process Control


Disturbance Rejection: A Main Concern in Process Control

Time: 2:00 – 4:00 p.m., April 22, 2016

Classroom: Lecture Room 304, Institute of Cyber-Systems & Control, Zhejiang University

Contact: Dr. Chao Xu, Email: cxu@zju.edu.cn; WeChat: 53295319 

Pedro Albertos, past president of IFAC (the International Federation of Automatic Control) in 1999-2002, IFAC Fellow and Advisor, and Senior Member of IEEE, is a world recognized expert in real-time control, leading several projects in the field. Full Professor since 1975, he is currently Emeritus Professor at Systems Engineering and Control Dept. UPV, Spain. He is Doctor Honoris-Causa from Oulu University (Finland) and Bucharest Polytechnic (Rumania) and Honorary Professor from the Northeastern University, Shenyang, RPC.

Abstract – The central problems in process control are related to reference tracking and disturbance rejection. In this series of seminars we are going to deal with the problem of disturbance treatment.

Different types of disturbances can be considered and also different approaches will be outlined to reject or reduce their effects. The disturbances could be external or generated by model uncertainties. They can be measured or estimated.

The most popular controller design methodologies to deal with disturbances will be reviewed. Disturbance Observers (DOB), Uncertainty and Disturbance Estimator (UDE) and Active Disturbance Rejection Control (ADRC) approaches will be presented and their advantages and limitations when dealing with either non-minimum phase, unstable or nonlinear plants will be discussed. Also, the presence of time delays should be considered. The main issues involved in each approach are illustrated by different applications. Some conclusions and comparisons are drafted and some open problems are presented.

Special attention will be paid to ADRC: its main components, the control properties and applications.

An Introduction to Modeling and Control of Open Quantum Systems

Short Course on: An Introduction to Modeling and Control of  Open Quantum Systems

Time: From May 30 to June 3, 2016, 10:00 a.m. – 12:00 p.m.
Classrooms: 工控新楼105(May 30),智能系统与控制研究所 | 教十八223教室(May 31, June 1, June 2)




Pierre Rouchon, Centre Automatique et Systèmes, Mines – ParisTech, PSL Research University

Quantum control is an emerging research subject with an increasing role in technologies related to high precision metrology, quantum information and communication. Its development requires to reconsider how measurement, control, and interactions fundamentally affect a system — in particular, the intrinsic invasive character of measurements. This course  presents some modern tools for controlling quantum systems, i.e.~steering a system to a quantum state and stabilizing it against decoherence (dissipation of quantum information through the coupling of the system to its uncontrolled environment). These tools will be illustrated by recent feedback experiments in cavity and circuit quantum electrodynamics.

The context throughout is that of systems of ordinary and stochastic differential equations. The level will be that of a graduate course intended for a general control audience without any prerequisites in quantum mechanics. The lectures consider  the following topics:

  • Introduction to quantum mechanics based on the two-level system (quantum bit) and the harmonic oscillator. May 30
  • Dynamical models: Markov chains, Kraus maps, quantum stochastic master equations and Lindblad differential equations. May 31 
  • Stabilization scheme relying on measurement-based feedback and Lyapunov techniques. June 1
  • Stabilization scheme relying on dissipation engineering and coherent feedback. June 2

quantum_controlContact: Dr. Chao Xu, Email: cxu@zju.edu.cn; WeChat: 53295319