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Intelligent control is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation and genetic algorithms.
Real-time Control System (RCS) is a reference model architecture, suitable for many software-intensive, real-time computing control problem domains. It defines the types of functions needed in a real-time intelligent control system , and how these functions relate to each other.
When the links in the tree are implemented by a computer network, then that hierarchical control system is also a form of networked control system. Intelligent control uses various AI computing approaches like artificial neural networks, Bayesian probability, fuzzy logic, [22] machine learning, evolutionary computation and genetic algorithms or ...
However, the more intelligent a system grows, the more likely the system would be able to escape even the best-designed capability control methods. [ 25 ] [ 26 ] In order to solve the overall "control problem" for a superintelligent AI and avoid existential risk, boxing would at best be an adjunct to "motivation selection" methods that seek to ...
Here he founded the Robot Systems Division, developed the RoboCrane, and many applications of the RCS architecture for DARPA, NASA, ARL, U.S. Bureau of Mines, Ford, and General Motors. From 1995 to 1998 as Chief, Intelligent Systems Division, NIST he managed a Division of 35 professional scientists and engineers with an $8+ million per year budget.
Machine learning control (MLC) is a subfield of machine learning, intelligent control, and control theory which aims to solve optimal control problems with machine learning methods. Key applications are complex nonlinear systems for which linear control theory methods are not applicable.
Smart systems are systems (usually computer systems or electronic system) which are able to incorporate and perform functions of sensing, actuation, and control in order to analyze a situation, based on acquired data and perform decisions in a predictive or adaptive manner, thereby performing smart actions.
The group is dedicated towards creating intelligent systems that are able to autonomously operate in complex and diverse scenarios. They are interested in the mechatronic design and control of vehicles that efficiently adapt to different situations and perform in dynamic environments.