ECNG 2009 encompasses the study of classical control techniques applied to linear and weakly nonlinear dynamical systems. The course provides the foundations of control system design, system modelling and model reduction. It should be noted that most basic process control systems, or level 1 and 2 control strategies in commercial applications rely on the theory taught in this course. Example applications include Airliner yaw, pitch and roll control. Temperature, flow and pressure control in a process system and power system control. ECNG 2009 comprises of both mathematical theory and practical knowledge in the form of theorem, proofs, analytical examples, laboratory work and design and research projects in MATLAB Simulink. Download selected course material here

This course seeks to equip the student with the knowledge and basic skills required for an engineer in the area of control and instrumentation. Particular emphasis is paid to developing skills necessary to design and implement computer control systems for automation and control, designing reliable and fault tolerant systems and understanding communication protocols and instrumentation systems. The course is significant because of the importance of automation, control and instrumentation (collectively called instrumentation in the region) to the industrial processes which are the flagships of the Caribbean economies and to the burgeoning group of small manufacturing concerns. Download selected course material here

Advanced Control System Design deals with state-space methods for system representation, control, modelling and design. This approach is important for high-order and multi-input multi-output systems. These type of control systems are used in the fields of robotics, chemical, economics, aerospace, and manufacturing. The course builds on linear algebra theory and takes a theoretical and practical approach in developing stable feedback systems. The material covered in this course spans the theories of modelling nonlinear systems, Lyaponuv theory, BIBS/BIBO stability, MIMO feedback, observability, controllability, and optimal control. In keeping with the wide system application taught for the Control Systems thematic, this course is focused on robotic systems.Download selected course material here

This course is designed for final year BSc Electrical and Computer Engineering students. The aim is to present advanced methods of control, instrumentation, safety and actuation technologies that are current and emerging internationally and in the region. This course attempts to bridge the gap between mathematical systems and control theory with process and automation control systems in practice. The material covered in this course spans “Advanced control” methods which defined by nomenclature consists of cascade control, adaptive methods, inference, etc. Safety and alarm systems and methods, Instrumentation systems and Actuation/Final control elements as specified by their relevant standards. Assessment artefacts of ECNG 3032 includes 2 Coursework Exams and 1 simulation Coursework exercise.Download selected course material here

This course is designed for postgraduate students aiming to achieve their MASc Electrical and Computer Engineering (Control Systems Specialization), PhD or MPhil degrees. The course introduces students to optimal and intelligent control strategies designed with the robust theoretical framework. The classes of systems dealt with in this course are uncertain LTI and nonlinear (whose models may be complex) that verify either the local or global Lipschitzian condition. The material covered in this course spans model predictive control, differential game theory, stochastic optimization methods, fuzzy inference systems, neural networks and reinforcement learning.Download selected course material here

The course aims to present an in-depth introduction to linear state-space systems necessary for the control systems postgraduate student. Major concepts taught in this course include system norms and perturbations, internal and external stability, feedback performance and robustness and system realizations. System classes of interest include unstable SISO/MIMO LTI and uncertain LTI systems. ECNG 6604 relies heavily on CAD software for the design and analysis of control laws.

This course is designed for postgraduate students aiming to achieve their MASc Electrical and Computer Engineering (Control Systems Specialization), PhD or MPhil degrees. The aim is to present to the student, industrially accepted and recent methods of adaptive control. This course relies heavily on control theory presented with the heavy use of mathematical theorems and applied to industrial, chemical, mechanical, biological and robotic systems. The material covered in this course spans robust adaptive, MRAC and STR, nonlinear adaptive control and machine learning adaptive control.