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Higher education teachers: Pernuš Franjo
Prerequisits:
Content (Syllabus outline):
Introduction. What are systems? Classification of systems. Analysis of systems in the time domain. Linear differential equations. Solving linear differential equations. System transfer function. Convolution of linear continuous-time systems. Stability of continuous-time linear systems. Routh-Hurwitz stability criterion. Analysis of systems in the frequency domain. Characteristics of the frequency response function. Bode diagrams. Polar diagrams. State space approach. State space models. State variables and state vector. General solution of the state equation in the time domain. State transition matrix. State space model and the transfer function. Stability analysis in state space. State space canonical forms. Controllability and observability.Analysis of linear electrical circuits. Applications of systems theory. Examples from biomedicine, engineering, economy, management, etc. Analysis of biological systems. Mathematical modelling of biological systems. Linear models. Analysis of biological systems in the time and frequency domains. State space analysis of biological systems.
Objectives and competences:
Intended learning outcomes:
Learning and teaching methods: