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Gao X.,Beijing Institute of Technology | Gao X.,Key Laboratory of Intelligent Control and Decision of Complex Systems
Chinese Control Conference, CCC | Year: 2013

There being ample research in cluster-based Media Access Control (MAC) protocols for Mobile Ad Hoc Networks (MANETs) recently makes it necessary having a stable clustering algorithm developed for MANETs. Nodes in MANETs often have highly mobility and sometimes present the characteristic of group mobility. From the innovation perspective, we proposed a clustering algorithm by employing Learning Automata (LA) in a distributed manner considering nodes distance and nodes mobility to produce stable clusters. By utilizing LA nodes can make intelligent and adaptive decisions based on the local information collected in the past time. Compared to another mobility based clustering algorithm, simulation results present us the superior performance of the proposed algorithm. © 2013 TCCT, CAA. Source


Wang Y.,Beijing Institute of Technology | Chen W.,Beijing Institute of Technology | Chen W.,Key Laboratory of Intelligent Control and Decision of Complex Systems
Chinese Control Conference, CCC | Year: 2014

Path planning is always an essential issue and complicated optimum problem for unmanned aerial vehicle (UAV). Genetic algorithms are well applied to solve such problems as a stochastic search method. In this paper, a new method of path planning for UAV based on genetic algorithms is introduced. Reasonable coding way and fitness function are used in this improved genetic algorithm, and prior knowledge is added to the genetic algorithm. By selecting essential points and moving strategy in advance, this new method can highly reduce the computation cost and find the optimal path more efficiently. The simulation result shows that this new approach is proved to improve the search efficiency. © 2014 TCCT, CAA. Source


Gao Z.,Liaoning University | Liao X.,Beijing Institute of Technology | Liao X.,Key Laboratory of Intelligent Control and Decision of Complex Systems
IFAC Proceedings Volumes (IFAC-PapersOnline) | Year: 2014

This paper presents observer-based fuzzy control for nonlinear fractional-order systems with the fractional order α satisfying 1 < α < 2 via fuzzy T-S models. Using the properties of the Kronecker product and LMI approach, the feedback and observer gain matrices are designed. By this method, the state of nonlinear system described as the fuzzy T-S model is convergent to the equilibrium and the observer error is convergent to zero. Finally, the simulation result of a numerical example is given to illustrate the effectiveness of this method. © IFAC. Source


Li W.,Beijing Institute of Technology | Li W.,Key Laboratory of Intelligent Control and Decision of Complex Systems
Chinese Control Conference, CCC | Year: 2014

Special Re-use TDMA (STDMA) emerges as a promising channel access technique for providing Quality of Service (QoS) guarantees in multi-hop ad Hoc networks such as community mesh and sensor networks. The contention-free channel access combined with special reuse of the channel provides significant benefits in the energy/throughput trade-off. However, the protocol may introduce scheduling delay if, on the same path, an outbound link on a router is scheduled to transmit before an inbound link on that router. The total scheduling delay can be quite large since it accumulates at every hop on a path. This paper presents a method to solve this problem to improve the performance of the network system. Compared to the origin STDMA protocol, simulation results present us the superior performance of the proposed algorithm. © 2014 TCCT, CAA. Source


Gan M.,Beijing Institute of Technology | Gan M.,Key Laboratory of Intelligent Control and Decision of Complex Systems | Wang C.,Beijing Institute of Technology | Wang C.,Key Laboratory of Intelligent Control and Decision of Complex Systems
Mathematical Problems in Engineering | Year: 2015

This paper presents a sensorless speed control strategy for a permanent-magnet synchronous motor (PMSM) based on an adaptive nonlinear extended state observer (ANLESO). In this paper, an extended state observer (ESO), which takes back-EMF (back electromotive force) as an extended state, is used to estimate the rotor position and the rotor speed because of its simpler structure and higher accuracy. Both linear ESO (LESO) and nonlinear ESO (NLESO) are considered to estimate the back-EMF of PMSM, and NLESO is finally implemented due to its obvious advantage in convergence. The convergence characteristics of the estimation error of the observer are analyzed by the Lyapunov theory. In order to take both stability and steady-state error into consideration, an adaptive NLESO is proposed, which adaptively adjusts the parameters of NLESO to a compromised value. The performance of the proposed method was demonstrated by simulations and experiments. © 2015 Minggang Gan and Chenyi Wang. Source

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