This research introduces a new technique to control constrained nonlinear systems, named Lyapunov-based neural network model predictive control using a metaheuristic optimization …
With the breakthroughs in artificial intelligence technology and the rapid development of intelligent manufacturing, industry and artificial intelligence (AI) are gradually being deeply …
X Ji, G He, J Xu, Y Guo - Advances in Engineering software, 2016 - Elsevier
Responding to the technological progresses and the emerging trends of chemical industry, the mode of intelligent chemical industry based on cyber-physical system (CPS) was …
Abstract Fuzzy Grey Cognitive Maps (FGCM) is an innovative Grey System theory-based FCM extension. Grey systems have become a very effective theory for solving problems …
It is always better to have an idea about the future situation of a present work. Prediction of software faults in the early phase of software development life cycle can facilitate to the …
S Chatterjee, S Nigam, JB Singh, LN Upadhyaya - Applied Intelligence, 2012 - Springer
This paper explores a new approach for predicting software faults by means of NARX neural network. Also, a careful analysis has been carried out to determine the applicability of NARX …
We looked at the background of fault-detection and fault-tolerant control algorithms to propose a new high efficiency one with a focus on Tennessee Eastman process through …
A Flah, L Sbita - Applied Intelligence, 2013 - Springer
This paper is a proposal of a modified internal model control based on an intelligent technique. The indirect field oriented control strategy (IFOC) is used as a permanent magnet …
The present research attempts to extend the available literature in the area of secure communications to provide an efficient robust adaptive sliding mode control approach in the …