Juš Kocijan

This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.

Modelling and Control of Dynamic Systems Using Gaussian Process Models

Tadej Bajd

Mojca Žagar Karer

Rihard Karba

Gorazd Karer

Terminološki slovar avtomatike vsebuje vsebuje 1753 terminov s področja avtomatike, ki vključuje matematično modeliranje, simulacijo dinamičnih sistemov, avtomatsko vodenje s pripadajočimi gradniki in robotiko. Področje se prepleta tudi z obdelavo signalov, informacijskimi tehnologijami in proizvodnimi tehnologijami. Namenjen je zlasti strokovnjakom in študentom, ki se ukvarjajo s tehnologijo vodenja in dinamičnimi sistemi na tehniških in netehniških področjih. Pri izdelavi slovarskih sestavkov je bila uporabljena in sistematično pregledana relevantna strokovna literatura. Termini so pojasnjeni z definicijo, ki pojem uvršča v pojmovni sistem stroke, ali s kazalko, ki usmerja na ustreznejši termin. Z normativnimi podatki želi slovar prispevati k poenotenju terminologije na področju avtomatike. Različna poimenovanja istega pojma so namreč lahko vir številnih nesporazumov, kar onemogoča natančno in učinkovito strokovno sporazumevanje. Ker je avtomatika izrazito vezana na angleško terminologijo, slovar vsebuje tudi angleške ustreznike. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ The dictionary comprises 1753 terms from the field of automatic control, which includes mathematical modelling, simulation of dynamical systems, automation technology with the relevant elements, and robotics. The field is also interconnected with signal processing, information technologies and production technologies. The dictionary is aimed at experts and students who deal with control technology and dynamical systems within technical as well as non-technical domains. The terms are explained either by a definition, which places a concept in the concept system of the domain, or by a cross-reference, which suggests a more suitable term. The normative data strives to make the terminology in the field of automatic control, systems and robotics more unified. This is important because different terms used for the same concept often result in misunderstandings that prevent precise and effective communication among experts. The domain is strongly connected to English terminology, therefore English equivalents are also provided in the dictionary.

Juš Kocijan

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