Analytical and practical issues of multi-domain and multifunctional networked intelligent control systems

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Many large-scale engineering systems are networked groups of subsystems, forming for example, automated factories, ground transit systems, and healthcare delivery systems. The proposed research will make significant original contributions in modelling, analysis, design, development, and operation/control of such networked systems, by addressing the following categories of issues:  1. A networked system may consist of interconnected multiple-domain (mechanical, electrical, thermal, fluid, etc.) components. What procedures of integrated modelling and analysis would be appropriate for them, which could facilitate design, development, operation and control of the system?2. A component may be able to perform multiple functions (e.g., a piezoelectric element can simultaneously serve as both a sensor and an actuator). What modifications would be needed in the above procedures in order to accommodate multifunctional components?3. In a networked system there exist nondeterministic time delays and losses of data. How could the knowledge, as generated in activities 1 and 2, be beneficially incorporated into existing techniques of design, stability analysis, and control of a networked engineering system consisting of multi-domain and multifunctional devices? In particular, by using "intelligence" on component behaviour, could the sensory data be minimized and system complexity reduced, while facilitating effective control and good performance?    The developed technologies will be implemented in a practical and networked system in our laboratory (a networked plant consisting of a fish processing machine and robots), evaluated, and improved, for transfer to Canadian industry. The investigation will lead to improved methodologies/guidelines in modelling, analysis, design, and control of complex engineering systems, with benefits: optimality and better component matching; ease of system integration; compatibility and ease of cooperation with other systems; improved controllability and reliability; increased efficiency, cost effectiveness and system life; and improved product quality.