Intelligent control denotes the capacity to acquire and apply knowledge in control process. The important characteristics of intelligent control systems are information abstraction and knowledge-based decision making. There are different control paradigms available in the literature including Artificial Neural Networks, Fuzzy Logic Systems, Genetic Algorithms, Hybrid Models and others. This pap...

The area if iterative learning control (ILC) has emerged from robotics to form a new and exciting challenge for control theorists and practitioners. There is great potential for applications to systems with a naturally repetitive action where the transfer of data from repetition (trial or iteration) can lead to substantial improvements in tracking performance. Although many of the challenges me...

Several interaction control algorithms have been proposed for physical human-robot interaction (pHRI) with the aim of assisting human movements. Some example are “path control” [4], “virtual model control” [7], “clime” [9] or gravity compensation [5], [3]. This class of algorithms is often built upon a force/torque controller that is supposed to be ideally fast. However when the algorithm is im...

Adaptation of a component-based system can be achieved in the coordination modeling language Paradigm through the special component McPal. McPal regulates the propagation of new behaviour and guides the changes in the components and in their coordination. Here we show how McPal may delegate part of its control to local adaptation managers, created on-the-fly, allowing for distribution of the ad...

Received 21 July 2010; accepted 21 July 2010; electronically published 28 October 2010. Potential conflicts of interest: none reported. Financial support: none reported. Reprints or correspondence: Dr Edward Lewin, 2730C Prosperity Ave, Fairfax, VA 22031 ([email protected]). The Journal of Infectious Diseases 2010;202(11):1619– 1622 2010 by the Infectious Diseases Society of America. All right...