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Huang S.,Jiangnan University | Tian N.,Jiangnan University | Ji Z.,Jiangnan University | Ji Z.,Key Laboratory of Advanced Process Control for Light Industry
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2016

Mutation operator is an effective method to solve the premature of particle swarm optimization. According to the characteristic of population diversity, a modified particle swarm optimization based on adaptive mutation probability and hybrid mutation strategy was proposed. Aggregation degree was introduced to adjust the mutation probability of each generation, and a hybrid Gaussian and Cauchy mutation based on the global-best position and an adaptive wavelet mutation based on the worst personal-best position were carried out. The simulation of the comparisons with other particle swarm optimizations with mutation operator on matlab was proposed. The results demonstrate that the proposed algorithm can obtain higher accuracy solution and have better performance. © 2016, The Editorial Board of Journal of System Simulation. All right reserved.


Wang G.,Key Laboratory of Advanced Process Control for Light Industry | Wang G.,Jiangnan University | Peng Y.,Key Laboratory of Advanced Process Control for Light Industry | Peng Y.,Jiangnan University | And 2 more authors.
ITME 2011 - Proceedings: 2011 IEEE International Symposium on IT in Medicine and Education | Year: 2011

A fast tag anti-collision algorithm named Fast Query Tree (FQT) is presented. FQT is an improved technique based on query tree algorithm, the novelty of FQT is that it use a counter and a pointer in each tag for tag transmission arbitration, owing to the counter and pointer, which on the other hand remembered the reader's query history, reader just needs to transmit the last bit of the current prefix. The simulated results show that FQT can achieve a better performance than other conventional tree-based algorithms in terms of communication overhead, identification delay and speed. © 2011 IEEE.


Sun S.,Key Laboratory of Advanced Process Control for Light Industry | Sun S.,Jiangnan University | Zhang Q.,Key Laboratory of Advanced Process Control for Light Industry | Zhang Q.,Jiangnan University | And 4 more authors.
International Review on Computers and Software | Year: 2012

Since sensor nodes have limited energy, energy efficient routing is very important for wireless sensor network (WSN). LEACH and PEGASIS wireless sensor networks are two classic clustering routing protocols among those protocols developed for WSN. In this paper, a new evolutionary based routing protocol for clustered WSN based on LEACH and PEGASIS is proposed, in which the residual energy and link quality are chosen as the criteria of cluster head selecting. The new algorithm utilizes a link quality evaluation model in Gauss distribution, in which the real-time link information is recorded by a dynamic window. In the process of cluster formation, cluster head with low residual energy and poor link quality will be replaced with a high energy and excellent link quality node in order to balance the energy and avoid the premature death of nodes, a chain like PEGASIS among the cluster heads is formed to achieve data integration and multi-hop transmission. To compensate the shortcoming of link routing, a reliable transform scheme is also proposed. Theoretical analysis and simulation data demonstrate that the proposed protocol, compared with LEACH, is more efficient to balance and reduce energy consumption and hence prolongs the network lifetime. © 2012 Praise Worthy Prize S.r.l.


Luan X.,Key Laboratory of Advanced Process Control for Light Industry | Luan X.,Jiangnan University | Zhao C.,Key Laboratory of Advanced Process Control for Light Industry | Zhao C.,Jiangnan University | And 2 more authors.
IET Control Theory and Applications | Year: 2014

This study considers the problem of finite-time H∞ control for a class of discrete-time time-delay Markov jump linear systems governed by deterministic switches. By allowing the stochastic Lyapunov function to increase at every switching instant with a limited increase rate, new results on the stochastic finite-time boundness with given H∞ disturbance attenuation level are derived. Moreover, the coupling relationship among time-delay, average dwell time and given finite-time horizon of the underlying system is obtained through an average dwell-time constraint. Finally, one example is given to demonstrate the validity of the obtained results. © The Institution of Engineering and Technology 2014.


Zhang H.,Jiangnan University | Ge H.,Jiangnan University | Ge H.,Key Laboratory of Advanced Process Control for Light Industry | Yang J.,Jiangnan University
Optik | Year: 2016

The probability hypothesis density (PHD) filter is a promising method for multi-target tracking problem. The Gaussian mixture PHD filter is an analytic solution to the PHD filter for linear Gaussian multi-target models. However, the PHD filter is inapplicable to the multi-target tracking scenario with unknown newborn target intensity. To overcome the problem, an adaptive Gaussian mixture probability hypothesis density algorithm for multiple target tracking is proposed, where the Dirichlet distribution with negative exponent parameters and target maximum velocity constraint-based schemes are introduced to recursively estimate the newborn target intensity at each time step. The simulation results illustrate that the proposed algorithm has better performance under the unknown newborn target intensity in the multi-target tracking systems. © 2016 Elsevier GmbH.


Ji N.,Key Laboratory of Advanced Process Control for Light Industry | Ji N.,Jiangnan University | Xu D.,Key Laboratory of Advanced Process Control for Light Industry | Xu D.,Jiangnan University | And 2 more authors.
ICIC Express Letters | Year: 2016

In this paper, constrained inverse control based on least squares support vector machines (LS-SVM) is proposed for the general unknown nonlinear systems. The proposed control method includes three parts which are LS-SVM, inverse controller and dynamic anti-windup compensator. In this control design, LS-SVM is used to obtain the Jacobian information of the unknown nonlinear system and the inverse controller is designed to control the dynamic system. At the same time, in order to solve the control input saturation of the dynamic nonlinear system, a dynamic anti-windup compensator is proposed for accommodating the reference. Due to the proposed scheme, the output tracking ability of the closed-loop control system can be guaranteed in spite of constrained unknown nonlinear process. Finally, the simulation results for a solid oxide fuel cell (SOFC) are provided to demonstrate the effectiveness of the proposed constrained control approach. © 2016 ICIC International.


Huang S.,Jiangnan University | Tian N.,Jiangnan University | Wang Y.,Jiangnan University | Ji Z.,Jiangnan University | Ji Z.,Key Laboratory of Advanced Process Control for Light Industry
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2016

A multi-parameter and multi-objective identification model of induction motor was established, and a multi-objective particle swarm optimization based on Pareto set and all personal-best positions guided strategy was proposed and applied to the identification model. Not considerring the weighted coefficient of each objective, Pareto set is able to avoid subjective choice of the coefficients of multi-objective identification and proportion strategy with all personal-best positions guided could balance the learning ability from personal-best positions and global-best position. Having verified the performance on Matlab/Simulink, the results show that the proposed algorithm is able to improve parameter identification accuracy, and has a better performance. © 2016, The Editorial Board of Journal of System Simulation. All right reserved.


Huang M.,Key Laboratory of Advanced Process Control for Light Industry | Huang M.,Jiangnan University | Zhao W.,Key Laboratory of Advanced Process Control for Light Industry | Wang Q.,Key Laboratory of Advanced Process Control for Light Industry | And 2 more authors.
International Agrophysics | Year: 2015

Moisture content uniformity is one of critical parameters to evaluate the quality of dried products and the drying technique. The potential of the hyperspectral imaging technique for evaluating the moisture content uniformity of maize kernels during the drying process was investigated. Predicting models were established using the partial least squares regression method. Two methods, using the prediction value of moisture content to calculate the uniformity (indirect) and predicting the moisture content uniformity directly, were investigated. Better prediction results were achieved using the direct method (with correlation coefficients RP = 0.848 and root-mean-square error of prediction RMSEP = 2.73) than the indirect method (RP = 0.521 and RMSEP = 10.96). The hyperspectral imaging technique showed significant potential in evaluating moisture content uniformity of maize kernels during the drying process. © 2015 Institute of Agrophysics, Polish Academy of Sciences.


Zhi Y.,Key Laboratory of Advanced Process Control for Light Industry | Jiang S.,Key Laboratory of Advanced Process Control for Light Industry | Pan F.,Key Laboratory of Advanced Process Control for Light Industry
ICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences | Year: 2015

The problem of non-fragile fault-tolerant guaranteed cost control is studied for a class of nonlinear networked control systems with time delays and packet dropouts. The system parameters are allowed to have time-varying uncertainties, and the actuator faults are assumed to occur in a random way. By utilizing Lyapunov stability theory and linear matrix inequality (LMI) methods, a sufficient condition for the existence of the H8 guaranteed cost fault-tolerant controller is derived, and then the desired non-fragile controller gain is obtained by solving the LMIs. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method. © 2015 IEEE.

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