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State-space modelling, solution and analysis of state-space equations. Control systems aspects include state feedback and pole placement, state estimation and optimal control. System identification, which is complementarily related to control systems design/analysis will develop and solve linear methods of model identification and creation from data.
Modern linear systems theory is the backbone of a range of advanced dynamic systems modelling and analyses with direct industry relevance across a range of fields, including aerospace, automotive, automation and others. This course covers both control and system identification methods, which are relevant to these industries and engineering practice.Additional Prerequisites Note:ENME403 is available to any Fourth-Year Engineering student who has completed either ENME303 or ENEL321 and has also completed their Second-Year Engineering requirements.All non-Mechanical Students: Please contact your Departmental Fourth-Year Director of Studies to request enrolment into this course.
Washington Accord (V4) Summary of Graduate Attributes attained in this course: WA2 – Problem Analysis WA3 – Design/Development of Solutions WA4 – Investigation WA5 – Tool Usage WA6 – The Engineer and the World WA8 – Individual and Collaborative Teamwork WA9 – Communication WA11 – Lifelong LearningCourse topics with Learning Outcomes (and Washington Accord (WA) and UC Graduate Attributes) identified.1. Modern Control and Linear Systems: Introduction to state space systems and mathematics; State space description of dynamic systems: CTS and DTS; State space analysis, Stabilizable: Observability and Controllability, Stability; State space control design; Modern optimal control methods and stability analysis 1.1. Understand system theory topics: including state space modelling of SISO and MIMO systems, natural and forced responses, state transition matrix, stability, controllability and observability (WA2, WA4) 1.2. Ability to derive, interpret and solve problems using modern state space control methods for continuous time systems (CTS) and discrete time systems (DTS), and simulate these feedback control systems (WA2, WA5) 1.3. Understand system stability, controllability, observability, and stabilizability in modern control, and able to use these tools in systems analysis and design (WA2, WA3, WA4, WA5) (EIE4) 1.4. Ability to apply and solve problems for the design of modern state space and optimal control problems, including application to complex, multi-input, multi-output (MIMO) systems (WA2, WA3) (EIE3)2. System Identification (ID): Introduction to System ID and identifiability; Integral-based Methods; Gradient descent and Regression based methods 2.1. Understand modern system identification methods using time domain and state space models (WA2) 2.2. Ability to derive and solve system identification problems using modern state space system models and experimental data, including integral-based methods and least-squares based methods (WA2, WA4, WA5) (EIE4) 2.3. Understand system ID methods and their implementation and application via project-based learning (WA2, WA3, WA10) (EIE2)3. Overarching course objectives, as per ENME303 and including: 3.1. Able to apply modern modelling and control or system identification methods and analysis to a wider spectrum of real-life engineering problems via laboratories, problems, case studies and projects (WA6, WA9, WA10) (EIE1, EIE2, EIE5) 3.2. Lay a theoretical and mathematical foundation for the analysis of advanced control systems (WA5, WA6, WA12) (EIE1, EIE3, EIE4, EIE5)
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
(1) ENME303 or ENEL321; and (2) EMTH210, ENME202 and ENME203.
ENEL430 and ENME603
Students must attend one activity from each section.
Geoff Chase
For detailed course, policy, regulatory and integrity information, please refer to the UC web site, or see relevant Course or Department LEARN pages, (which are available to enrolled students).
Domestic fee $1,197.00
International fee $6,000.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mechanical Engineering .