[ 481VRTROPTK22 ] KV Optimization

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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M - Master's programme Mechatronics Kurt Schlacher 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2022W
Objectives Identification of beneficial properties of convex optimization problems, basic knowledge about linear and semidefinite programming, the ability to formulate control problems as linear or semidefinite programs and to solve them numerically by appropriate algorithms, understanding the principles of variational calculus and its application to optimal control problems. Skills for the generation and numerical solution of convex parameter optimization tasks, experience in the formulation of practice-relevant tasks.

The level of the mathematical methods used to describe the dynamic systems, to design the control laws and to synthesize the control circuits corresponds roughly to that in the textbooks S. Boyd, L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004; S. Boyd, L. El Gaoui, E. Feron, V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory, SIAM Studies in Applied Mathematics, Vol. 15, 1994; A. E. Bryson, Yu-C. Ho, Applied Optimal Control, Hemisphere Publishing Corporation, 1975.

Subject Fundamentals of parameter optimization, convex optimization problems, introduction to linear programming, control system design based on linear programming methods, semidefinite programs, control system design by semidefinite programming, variational calculus, solution of optimal control problems by variational calculus, linear systems with quadratic objective function. Use of Matlab and YALMIP to generate and solve convex parameter optimization tasks, design of digital filters with linear programming.
Criteria for evaluation Oral exam
Methods Blackboard and slide presentation, use of modern software tools.
Language German
Study material JKU KUSSS and/or Moodle
Changing subject? No
Corresponding lecture (*)MEMWBVOOPMS: VO Optimale Regelung mechatronischer Systeme (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence