Torkel Glad – författare

Reglerteorin har utvecklats snabbt de senaste årenDenna bok utgår från grundkunskaper i reglerteknik och täcker både teori och användning av flertalet nya metoder. Speciellt behandlas system med flera in- och utsignaler och olinjära system, i både diskret och kontinuerlig tid. Stokastiska störningsmodeller beskrivs också.Bland grundläggande metoder som behandlas märks linjärkvadratisk teori, moderna frekvensdomänmetoder, exakt linjärisering och optimeringsbaserade metoder. Vidare behandlas fundamentala begränsningar för reglersystem.

This is a textbook designed for an advanced course in control theory. Currently most textbooks on the subject either looks at "multivariate" systems or "non-linear" systems. However, Control Theory is the only textbook available that covers both. It explains current developments in these two types of control techniques, and looks at tools for computer-aided design, for example Matlab and its toolboxes. To make full use of computer design tools, a good understanding of their theoretical basis is necessary, and to enable this, the book presents relevant mathematics clearly and simply. The practical limits of control systems are explored, and the relevance of these to control design are discussed. Control Theory is an ideal textbook for final-year undergraduate and postgraduate courses, and the student will be helped by a series of exercises at the end of each chapter. Professional engineers will also welcome it as a core reference.

Denna bok beskriver metodiken att konstruera matematiska modeller för en process ur grundläggande fysikaliska samband och ur uppmätta signaler från processen. Bland annat behandlas en allmän metod baserad på s.k. bindningsgrafer (bond graphs) och användningen av modernt objektorienterat modellbygge. I samband med det presenteras både klassiska tillståndsmodeller och mer generella s.k. differentialalgebraiska ekvationer (DAE). Boken ger också en fyllig framställning av området systemidentifiering. Boken förutsätter vissa förkunskaper i signaler och system samt i elementär fysik och statistik. Den lämpar sig väl för kurser i civilingenjörsutbildningen och för praktiskt verksamma ingenjörer.

This book contains examples and exercises with modeling problems together with complete solutions. The contents is tailored to the book Ljung-Glad: Modeling and Identification of Dynamic Systems (Studentlitteratur, 2016).The exercises are of different levels of difficulty and cover general modeling principles (such as bond graphs) as well as practical tools like Modelica and Simscape. System identification, model and signal properties are also covered together with basic techniques for simulation. Most of the problems deal with issues from industrial applications, but also economic, social and medical cases are covered.The text requires certain knowledge in linear algebra, signal and systems and basic familiarity with physics and statistics. The computer exercises assume access to basic software such as Matlab and Simulink, and to some extent Modelica/Dymola/Simscape. The book is suitable for Master level courses in engineering, but also for practicing engineers. It is based on the Swedish text Modellbygge och simulering: Övningsbok, Studentlitteratur 2008, by the same authors.

Mathematical models of real life systems and processes are essential in today’s industrial work. To be able to construct such models is therefore a fundamental skill in modern engineering.This is a book about how to build models both from first principles in physics and from information in collected input and output measurements from the system.Physical modeling is nowadays typically done by object oriented software, such as Modelica and Matlab’s Simscape. These techniques are described in the book, together with their theoretical and mathematical underlying principles. Domain-independent methods, such as following energy flows in bond graphs gives a useful background for understanding object oriented modeling. Both classical state-space models and general differential algebraic equations (DAE) are treated.The book also gives a comprehensive treatment of system identification, that is, techniques to estimate mathematical models from measured system inputs and outputs. Both linear and nonlinear models are treated, including artificial neural networks.The text is related to the Swedish text Modellbygge och Simulering, Studentlitteratur, 2003. It also has some roots in the book Modeling of Dynamic Systems, Prentice Hall, 1994.The currrent 2nd edition of book has been extended with more material on the statistical roots of the area, a treatment of so called subspace methods and an orientation on neural networks, deep nets and deep learning.