This paper presents a new analysis and design method for model reference adaptive control(MRAC) with arbitrary bounded input nonlinearities. The adaptive algorithm ensures that th...
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
Aly I. El-Osery, John Burge, Mohammad Jamshidi, An...
This article presents a control flow analysis methodology based on UML 2.0 sequence diagrams (SD). In contrast to the conventional code-based control flow analysis techniques, thi...
Bezier curves (BC) are fundamental to a wide range of applications from computer-aided design through to object shape descriptions and surface mapping. Since BC only consider glob...
Ferdous Ahmed Sohel, Laurence S. Dooley, Gour C. K...
The paper proposed to use recurrent Fuzzy-Neural Multi-Model (FNMM) identifier for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion ...