Linear Systems
Linear Systems BE3M35LSY
Credits | 8 |
Semesters | Winter |
Completion | Assessment + Examination |
Language of teaching | English |
Extent of teaching | 4P+2C |
Annotation
The purpose of this course is to introduce mathematical tools for the description, analysis, and partly also synthesis, of dynamical systems. The focus will be on linear time-invariant multi-input multi-output systems and their properties such as stability, controllability, observability and state realization. State feedback, state estimation, and the design of stabilizing controllers will be explained in detail. Partially covered will be also time-varying and nonlinear systems.
Some of the tools introduced in this course are readily applicable to engineering problems such as the analysis of controllability and observability in the design of flexible space structures, the design of state feedback in aircraft control, and the estimation of state variables. The main motivation, however, is to pave the way for the advanced courses of the study program.
The prerequsites for this course include undergraduate level linear algebra, differential equations, and Laplace and z transforms.
Some of the tools introduced in this course are readily applicable to engineering problems such as the analysis of controllability and observability in the design of flexible space structures, the design of state feedback in aircraft control, and the estimation of state variables. The main motivation, however, is to pave the way for the advanced courses of the study program.
The prerequsites for this course include undergraduate level linear algebra, differential equations, and Laplace and z transforms.
Study targets
The purpose of this course is to introduce mathematical tools for the description, analysis, and partly also synthesis, of dynamical systems. The focus will be on linear time-invariant multi-input multi-output systems and their properties such as stability, controllability, observability and state realization. State feedback, state estimation, and the design of stabilizing controllers will be explained in detail. Partially covered will be also time-varying and nonlinear systems. Some of the tools introduced in this course are readily applicable to engineering problems such as the analysis of controllability and observability in the design of flexible space structures, the design of state feedback in aircraft control, and the estimation of state variables.
Course outlines
Systems and signals. Linear and time-invariant systems. Differential and difference systems. The concept of state, state equations.
Solving the state equations, modes of the system. Equivalence of systems. Continuous-time, discrete-time, and sampled-data systems.
Lyapunov stability, exponential stability, internal and external stability properties of linear systems.
Reachability and controllability of systems.
Observability and constructibility of systems. Dual systems.
Standard forms for systems, Hautus' tests, Kalman's decomposition.
Internal and external descriptions of systems, impulse response and transfer function. Poles and zeros of systems.
State realizations of external descriptions. Minimal realizations, balanced realizations.
State feedback, state regulation, pole assignment, LQ regulator.
Output injection, state estimation, LQ estimator.
Interconnection of systems, feedback controllers, stabilizing controllers.
State representation of stabilizing controllers. Separation property of state regulation and estimation.
Solving the state equations, modes of the system. Equivalence of systems. Continuous-time, discrete-time, and sampled-data systems.
Lyapunov stability, exponential stability, internal and external stability properties of linear systems.
Reachability and controllability of systems.
Observability and constructibility of systems. Dual systems.
Standard forms for systems, Hautus' tests, Kalman's decomposition.
Internal and external descriptions of systems, impulse response and transfer function. Poles and zeros of systems.
State realizations of external descriptions. Minimal realizations, balanced realizations.
State feedback, state regulation, pole assignment, LQ regulator.
Output injection, state estimation, LQ estimator.
Interconnection of systems, feedback controllers, stabilizing controllers.
State representation of stabilizing controllers. Separation property of state regulation and estimation.
Exercises outlines
For each exercise session, a list of exercises from the previous lecture is made available that the student is requested to solve and deliver the solutions prior to the session. Each session begins by a short test, then the exercise solutions will be checked and discussed, and difficult points will be explained.
Literature
P.J. Antsaklis, A.N. Michel: A Linear Systems Primer. Birkhäuser, Boston 2007. ISBN-3: 978-0-8176-4460-4
Requirements
There are no formal prerequisites to register the course. However, an undergraduate course on systems and control, such as Automatic Control
(AE3B35ARI) or Modelling and Simulation of Dynamical Systems
(AE3B35MSD) may be useful. The knowledge required for the course AE3M35TDS includes undergraduate level differential equations, linear algebra, Laplace and z transforms as presented in the recommended textbook (P. J. Antsaklis, A. N. Michel: A Linear Systems Primer, Birkhäuser, 2007 - Sections 1.2, 1.3, 1.5; Tables 3.1, 3.2, 3.3, 3.4; Appendix A).
(AE3B35ARI) or Modelling and Simulation of Dynamical Systems
(AE3B35MSD) may be useful. The knowledge required for the course AE3M35TDS includes undergraduate level differential equations, linear algebra, Laplace and z transforms as presented in the recommended textbook (P. J. Antsaklis, A. N. Michel: A Linear Systems Primer, Birkhäuser, 2007 - Sections 1.2, 1.3, 1.5; Tables 3.1, 3.2, 3.3, 3.4; Appendix A).
Responsible for the data validity:
Study Information System (KOS)