Open information systems semantics for distributed artificial intelligence
Artificial Intelligence
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
Fuzzy logic controller design utilizing multiple contending software agents
Fuzzy Sets and Systems
Information Sciences: an International Journal - Intelligent manufacturing and fault diagnosis (II). Soft computing approaches to fault diagnosis
Java Native Interface: Programmer's Guide and Reference
Java Native Interface: Programmer's Guide and Reference
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Java RMI
MASIF: The OMG Mobile Agent System Interoperability Facility
MA '98 Proceedings of the Second International Workshop on Mobile Agents
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Cooperative, hybrid agent architecture for real-time traffic signal control
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Decentralized techniques for the analysis and control of Takagi-Sugeno fuzzy systems
IEEE Transactions on Fuzzy Systems
New fuzzy control model and dynamic output feedback parallel distributed compensation
IEEE Transactions on Fuzzy Systems
Fuzzy functions with support vector machines
Information Sciences: an International Journal
Supremum metric on the space of fuzzy sets and common fixed point theorems for fuzzy mappings
Information Sciences: an International Journal
A novel approach for multi-agent-based Intelligent Manufacturing System
Information Sciences: an International Journal
An agent-oriented approach to resolve scheduling optimization in intelligent manufacturing
Robotics and Computer-Integrated Manufacturing
A model of distributed control for the hybrid transmission system using multi-agents
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
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When designing very complex control strategy using hybrid technology, one usually faces the challenge of balancing effective realization of multi-control modeling with design simplicity. To better manage this difficulty we have used the agent paradigm as a simple and powerful bridge between asynchronous/distributed computation and Matlab environment. The proposed architecture has been used to design a complex hybrid control environment using multi-objective, fuzzy c-means, and genetic algorithms optimization to design hybrid control strategies suitable for the energy flows management on board of hybrid electric vehicles.