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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.


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.


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

The temperature distribution is the crucial part in the design of the thermoelectric power generation system. Based on the temperature distribution, the system efficiency and stability could be effectively improved by using structure design of the thermoelectric power generation system. In this paper, the differential equation model and the finite element governing equation of thermoelectric power generation system is established, the model is analyzed through the finite element method, and the commercial finite element analysis software Ansys is used to simulate the system temperature distribution, with the assistant of APDL (Ansys Parametric Design Language), a parametric model is built and then the temperature field distribution is simulated. The simulation results are not only beneficial to provide guidance for the optimum of thermoelectric power generation system, but also meaningful to evaluate the feasibility of the design scheme of the system. © 2014 TCCT, CAA.


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.


Li L.,Beijing Institute of Technology | Li L.,Key Laboratory of Intelligent Control and Decision of Complex Systems | Xia Y.,Beijing Institute of Technology | Xia Y.,Key Laboratory of Intelligent Control and Decision of Complex Systems
Automatica | Year: 2012

In this paper, the stochastic stability of the discrete-time unscented Kalman filter for general nonlinear stochastic systems with intermittent observations is proposed. It is shown that the estimation error remains bounded if the system satisfies some assumptions. And the statistical convergence property of the estimation error covariance is studied, showing the existence of a critical value for the arrival rate of the observations. An upper bound on this expected state error covariance is given. A numerical example is given to illustrate the effectiveness of the techniques developed. © 2012 Elsevier Ltd. All rights reserved.


Xin B.,Beijing Institute of Technology | Xin B.,Key Laboratory of Intelligent Control and Decision of Complex Systems | Chen J.,Beijing Institute of Technology | Chen J.,Key Laboratory of Intelligent Control and Decision of Complex Systems | And 2 more authors.
Zidonghua Xuebao/Acta Automatica Sinica | Year: 2013

A literature review regarding intelligent optimized control (IOC) is provided along the branches including fuzzy optimized control, neural optimized control, fuzzy-neural optimized control, intelligent optimizers based optimized control and so on. Accordingly, concepts which are closely related to IOC are analyzed in depth. Also, a classification of IOC methods is presented. Finally, several important issues about IOC are discussed and the development of IOC in future is predicted. Copyright © 2013 Acta Automatica Sinica. All rights reserved.


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.


Huo G.,Beijing Institute of Technology | Huo G.,Key Laboratory of Intelligent Control and Decision of Complex Systems | Miao L.,Beijing Institute of Technology | Miao L.,Key Laboratory of Intelligent Control and Decision of Complex Systems
Chinese Journal of Aeronautics | Year: 2012

That cycle-slips remain undetected will significantly degrade the accuracy of the navigation solution when using carrier phase measurements in global positioning system (GPS). In this paper, an algorithm based on length-4 symmetric/anti-symmetric (SA4) orthogonal multi-wavelet is presented to detect and identify cycle-slips in the context of the feature of the GPS zero-differential carrier phase measurements. Associated with the local singularity detection principle, cycle-slips can be detected and located precisely through the modulus maxima of the coefficients achieved by the multi-wavelet transform. Firstly, studies are focused on the feasibility of the algorithm employing the orthogonal multi-wavelet system such as Geronimo-Hardin-Massopust (GHM), Chui-Lian (CL) and SA4. Moreover, the mathematical characterization of singularities with Lipschitz exponents is explained, the modulus maxima from wavelet to multi-wavelet domain is extended and a localization formula is provided from the modulus maxima of the coefficients to the original observation. Finally, field experiments with real receiver are presented to demonstrate the effectiveness of the proposed algorithm. Because SA4 possesses the specific nature of good multi-filter properties (GMPs), it is superior to scalar wavelet and other orthogonal multi-wavelet candidates distinctly, and for the half-cycle slip, it also remains better detection, location ability and the equal complexity of wavelet transform. © 2012 Chinese Journal of Aeronautics.


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.


Mao Y.,Key Laboratory of Intelligent Control and Decision of Complex Systems | Dou L.,Key Laboratory of Intelligent Control and Decision of Complex Systems | Fang H.,Key Laboratory of Intelligent Control and Decision of Complex Systems | Chen J.,Key Laboratory of Intelligent Control and Decision of Complex Systems
Asian Journal of Control | Year: 2015

The problem of distributed connectivity-preserving leader-follower flocking of multiple autonomous agents with second-order dynamics is investigated. First, a new class of bounded artificial potential fields is carefully designed which could guarantee connectivity preservation, distance stabilization and collision avoidance simultaneously as the system evolves. Furthermore, in the absence of acceleration measurements of the dynamic leader, a set of distributed and bounded leader-follower flocking control protocols is derived for each follower with the aid of the combination of potential based gradient descent methods and the sliding mode control paradigms. It is shown that all followers achieve velocity consensus and collision avoidance with the dynamic leader, the underlying network remains connected for all time, and the desired stable flocking behavior is asymptotically achieved on the condition that the initial network is connected. Finally, nontrivial simulations and experiments are worked out to verify the effectiveness of the proposed control algorithms. © 2014 Chinese Automatic Control Society and Wiley Publishing Asia Pty Ltd.

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