Twothermalstates model predictive control for igbt in threephase inverter. Model predictive control system design and implementation using matlab r by liuping wang, 9781849968362, available at book depository with free delivery worldwide. Mardi liuping wang school of electrical and computer engineering, royal melbourne. Model predictive control system design and implementation using matlab advances in industrial control feb 14, 2009. About this book model predictive control mpc has a long history in the. Pid and predictive control of electrical drives and power converters using matlab simulink isbn. Download for offline reading, highlight, bookmark or take notes while you read model predictive control. Most cited journal of process control articles elsevier. Control variable parameterisation with penalty approach for hypersonic vehicle reentry optimisation. The book is aimed at a wide readership ranging from industrial control engineers to graduate students in the process and control disciplines. Model predictive control for adaptive cruise control with multiobjectives. Model predictive control system design and implementation using matlab advances in industrial control series by liuping wang.
Predictive control of a class of bilinear systems based on. Csiro research publications repository search results. Issues such as plant optimization and constrained control. A timely introduction to current research on pid andpredictive control. Ping liu, xinggao liu, ping wang, guodong li, long xiao, jie yan, zhang ren. Liuping wang rmit university, melbourne rmit school. In addition to comfort and fueleconomy, automated vehicles also have the basic requirements of safety and carfollowing. Download it once and read it on your kindle device, pc, phones or tablets. Liuping wang s most popular book is plate heat exchangers. Twothermalstates model predictive control for igbt in.
For automated vehicles, comfortable driving will improve passengers satisfaction. Abstract a new multistep adaptive predictive control algorithm for a class of bilinear systems is presented. Model predictive control system design and implementation. Journal of zhejiang universityscience a, volume 11, issue. Subspacebased model predictive control with data pre ltering noor a. The structure of the bilinear system is converted into a simple linear model by using nonlinear support vector machine svm dynamic approximation with analytical control. As for control intervention, a person receiving virtual acupuncture and chiropractic treatment can be used as a placebo control, or as a blank control. Buy liuping wang ebooks to read online or download in pdf or epub on your pc, tablet or mobile device. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs. Thus, this paper proposes a thermal stress reduction scheme for qzsi drive, which utilizes finite control set model predictive control. Subspacebased model predictive control with data pre ltering. Reducing fuel consumption brings economic profits for car owners, decreases the impact on the environment and increases energy sustainability. Model predictive control for adaptive cruise control with. Model predictive control system design and implementation using matlab r advances in industrial control.
Metaanalysis of the therapeutic effect of acupuncture and. Shop amongst our popular books, including 9, pid control system design and automatic tuning using matlabsimulink, pid and predictive control of electrical drives and power converters using matlab simulink and more from liuping wang. Pid and predictive control of electrical drives and power. Pid and predictive control of electrical drives and power converters using matlab simulink. Issues such as plant optimization and constrained control which are critical to industrial. Model predictive control mpc is unusual in receiving ongoing interest in both industrial and academic circles. Ping wang, phd, b xiuqun shi, mm, c huijin li, mb, a xionghui zhang, mb, a shenghu zeng, mm, a zhoufa xu, mm, a dongqing lai, mb, a and minling zhang, mb a yu liu a department of. Author links open overlay panel yi liu a c ping liu b c huai wang c meng huang a xiaoming zha a. It is one of the few areas that has received ongoing interest from researchers in both the industrial and academic communities. A read is counted each time someone views a publication summary such as the title, abstract, and list of authors, clicks on a figure, or views or downloads the fulltext. Pid and predictive control of electrical drives and power converters using matlab simulink a timely introduction to current research on pid andpredictive control by one of the leading authors on thesubjectpid and predictive control of electric drives and powersupplies using matlabsimulink examines the classical controlsystem strategies, such as pid control, feedforward control. The book contains sections on closedloop performance analysis in both frequency domain and time domain, presented to help the designer in selection of controller parameters and validation of the control system. Behavior of reinforced concrete structural walls with various opening locations. Four major aspects of model predictive control make the design methodology attractive to.
Liuping wang has books on goodreads with 8 ratings. Citescore values are based on citation counts in a given year e. We are supplying e books, eaudiobooks and telegraph custom gift books as normal. Convex optimization has found wide applications in recent years due to its unique theoretical advantages and the polynomialtime complexity of stateoftheart solution algorithms for convex programming. System identification, environmental modelling and control. Books by liuping wang author of plate heat exchangers. Pid and predictive control of electrical drives and power converters using matlab simulink a timely introduction to current research on pid andpredictive control by one of the leading authors on thesubjectpid and predictive control of electric drives and powersupplies using matlabsimulink examines the classical controlsystem strategies, such as pid control, feedforward control andcascade. Fishpond australia, model predictive control system design and implementation using matlab r advances in industrial control by liupingwangbuy. Lihua luo, hong liu, ping li, hui wang pages 191201. Thermal stress reduction of quasiz source inverter drive. Continuoustime model predictive control of a regenerative power supply. Model predictive control mpc refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. Read model predictive control for adaptive cruise control with multiobjectives.
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