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ADVANCED CONTROL SYSTEMS

Module code: EE612
Credits: 7.5
Semester: 1
Department: ELECTRONIC ENGINEERING
International:

	Overview
	Preliminary Concepts � Control theory terminology. � State-space modelling of physical systems; differential equations; discrete-time equations. � Laplace transforms; transfer functions. � Simulation algorithms. � Robustness to model uncertainty. Classical control � Stability, eigenvalue analysis. � PID control basics, Simple tuning techniques. Discrete-time Control basics � Sampling � Discrete-time transfer functions � Stability in the discrete domain � Converting continuous to discrete time controllers State-space control � Observability, Controllability � Observer and control canonical forms. � State space control design methods-SISO, MIMO, continuous, discrete � Observer design & state estimation Model Predictive Control � State-space prediction, infinite horizon control. � Optimisation framework. � Hard/soft constraints, feasibility. � Stability unconstrained, constrained MPC � Applications For more information please refer to the Department web page: https://www.maynoothuniversity.ie/electronic-engineering/current-students/module-descriptors

Overview

Preliminary Concepts
� Control theory terminology.
� State-space modelling of physical systems; differential equations; discrete-time equations.
� Laplace transforms; transfer functions.
� Simulation algorithms.
� Robustness to model uncertainty.
Classical control
� Stability, eigenvalue analysis.
� PID control basics, Simple tuning techniques.
Discrete-time Control basics
� Sampling
� Discrete-time transfer functions
� Stability in the discrete domain
� Converting continuous to discrete time controllers
State-space control
� Observability, Controllability
� Observer and control canonical forms.
� State space control design methods-SISO, MIMO, continuous, discrete
� Observer design & state estimation
Model Predictive Control
� State-space prediction, infinite horizon control.
� Optimisation framework.
� Hard/soft constraints, feasibility.
� Stability unconstrained, constrained MPC
� Applications
For more information please refer to the Department web page: https://www.maynoothuniversity.ie/electronic-engineering/current-students/module-descriptors

	Learning Outcomes
	On successful completion of the module, students should be able to: demonstrate a capability to model simple dynamical systems using continuous, discrete-time, and state-space methods design control systems using classical, digital, and optimal control techniques solve for stability and optimality in a variety of simple and complex control problems demonstrate an understanding and knowledge of the control systems within the human body and their behaviour

Learning Outcomes

Teaching & Learning methods

Assessment

	Autumn Supplementals/Resits
	Are supplemental/resit registrations permitted? Yes 120 minute (Autumn, details as per end of semester). The continuous assessment mark is carried forward as there is no facility for repeating the continuous assessment elements of the course outside the module teaching semester. University scheduled written examination (Autumn): 120 minutes Is Supplemental Continuous Assessment registration permitted? No Is Supplemental Continuous Assessment capped? No

Autumn Supplementals/Resits

	Pre-Requisites
	Basic Knowledge of dynamical systems and linear algebra.

	Additional Reading
	Ken Dutton, Steve Thompson, Bill Barraclough, The Art of Control Engineering Dorf and Bishop, Modern Control Systems Katsuhiko Ogata, Modern Control Engineering E.F Camacho and C. Bordons, Model Predictive Control J.A. Rossiter, Model-Based Predictive Control Robert F.Stengel, Optimal Control and Estimation

	Timetable
	This timetable is not currently available, please contact the Electronic Engineering Department.

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Courses / Module

ADVANCED CONTROL SYSTEMS