Course Description
The Group's research activities are concerned with Computational Intelligence, Systems Control and Analysis, Information Processing and Management; and their applications to industrial and engineering systems, in particular to Electrical Power Engineering. The current research includes non-linear systems and control, support vector machines, mathematical morphology, neural networks, reinforcement learning, evolutionary computation, fuzzy logic, decision making support, biocomputation, intelligent systems, multi-agents, IP network based systems, information management and condition monitoring; and their applications to operation and control of electrical power systems, condition monitoring of electrical apparatus, power plant modelling, power quality compensation, telecommunication network and medical intensive care. One part of the Group has a particular strength in the application of microprocessors, DSPs and other digital systems to a wide range of processes and products, especially automated manufacture using robots controlled by vision systems. The research activities also extend to many aspects of industrial relevance. An e-Automation laboratory has recently been established by the research group in a partnership with National Instruments. This international flagship laboratory for e-Automation undertakes research in the area of network-based industrial automation to define a new generation of automation systems for information management condition monitoring and real-time control of a wide range of distributed industrial systems, with integration of the latest networking and agent technologies.

Course Fees
Course fees are subject to change and you are advised to check the current details with the course provider before enrolling on this course.

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Venue Description
Childcare facilities are available on site. Early booking of sessions is strongly recommended due to high demand of limited places. Guidance and advice may be available for all aspects of student life. Facilities/Support are available for students with hearing impairment. Facilities/Support are available for students with learning difficulties. Facilities/Support are available for students with restricted mobility. Facilities/Support are available for students with visual impairment.

Course Venue
Foundation Building
765 Brownlow Hill
Liverpool
Merseyside
L69 7ZX

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The Intelligence Engineering and Automation PhD course in the UK information was verified on 25 Apr 2007.

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