SBIR-STTR Award

In many cases, humans still out-perform today's best control systems. We could presumably approach human performance in these cases by building systems that more closely mimic human information processing, but unfortunately, that is still poorly understood. “Intelligent systems” try hard to mimic such processing, but all are deficient in various ways. Moreover, many control system engineers are reluctant to utilize intelligent systems for control applications, because such systems are unfamiliar, hard to use, and tend to lead out of the formal mathematics normally associated with system control. In Phase I of this project, we will investigate the feasibility of new technology that we expect will overcome these issues. We plan to build tools, methodology, and intellectual properties around this technology in Phase II, then push these assets aggressively to the huge markets and growing number of situations where control systems are employed, especially those where humans have previously surpassed machines.

Keywords:
Control System, Intelligent Control, Non-Linear Control, Control Engineering, Adaptive Control, Control Theory, Robust Control, Control System Validation