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Neural network architecture designed for large-scale and the generalization is poor, presents a neural network algorithm for fast pruning based on significance analysis. The essence of the method is based on large-scale neural network perceptron as the research object, the constructor error curved surface model to analyze the network connection weights of disturbance on the network output error caused...
In this paper, a coordinated tracking control problem is studied for coupled nonholonomic mobile robots with limited information of a reference trajectory. A distributed control law with adaptive time-varying gains is proposed to guarantee that the robots can form a prespecified geometric pattern while the centroid of the geometric pattern can track the reference signal. By designing the adaptive...
Information fusion for nonlinear systems is one of the challenging topics in target tracking recently. Aiming at a kind of multi-sensor target tracking systems with correations between process and measurement noises, we study the design of a decentralized fusion algorithm based on the unscented strong tracking filter with correlated noises (USTF-CN). Firstly, the information form of USTF with correlated...
To improve Maneuver Target Tracking Algorithm, The multi-model intelligent input estimating method based on fuzzy logic is proposed. A fuzzy inference system is constructed with the input of the residual of observation and the residual variation. Then we could get the real-time estimate of the maneuver input of the model according to the output of the system. The algorithm is optimized by the parameter...
Improved state coordinates transformations are used to design static and reduced-order dynamical stabilizers for linear time invariant (LTI) system. Free variable matrices are proposed in the transformations to stabilize pivotal submatrices of new state space representations. The stabilizers can be determined if corresponding linear matrix inequalities (LMIs) are feasible.
This paper introduces a hybrid algorithm combining discrete harmony search (DHS) and iterated local search (ILS) for solving the multi-objective resource allocation problem (RAP). Two objectives are considered simultaneously, i.e. minimization of the overall cost and overall efficiency. The harmony search algorithm is used to conduct the global exploration task, while the iterated local search performs...
Fractional order control theory was the summary and supplementary of traditional control theory of integer order. It made traditional classical control theory can be simulated and robustness more. So there was fractional order PID control theory which integrated with Fractional Calculus and PID control algorithm. First, integer order PID controller and fractional order PID controller were designed...
Cross layer congestion control algorithm based on compressed sensing (CS) is developed and designed in order to relieve congestion in Wireless Sensor Networks (WSNs).The main idea of this paper is to reduce congestion of sensor nodes by compressed transmission signal and allocated channel. In order to make an ideal distribution for sensor node, original signal is compressed at the network bottleneck,...
There is a huge energy-saving space in sports lighting area, sports lighting designers have taken plenty of measures to save energy, but using the intelligent optimization algorithms to optimize the sports lighting's light environment for energy-saving are rarely studied in domestic. In this paper we take advantage of the evolutionary parallel search abilities of genetic algorithms to find the appropriate...
An improved harmony search algorithm is presented for solving continuous optimization problems in this paper. In the proposed algorithm, an elimination principle is developed for choosing from the harmony memory, so that the harmonies with better fitness will have more opportunities to be selected in generating new harmonies. Two key control parameters, pitch adjustment rate (PAR) and bandwidth distance...
In this paper, we propose two modified conjugate gradient methods, which produce sufficient descent direction at every iteration. The theoretical analysis shows that the algorithms are global convergence under some suitable conditions. The numerical results show that both algorithms are efficient for the given test problems from the Matlab library.
In this paper, a novel improved multiobjective particle swarm optimization (IMOPSO) is proposed for solving the optimal reactive power dispatch (ORPD) problem with multiple and competing objectives. In order to improve the global search capability and the nondominated solutions diversity, time variant parameters, mutation operator, and dynamic crowding distance are incorporated into the MOPSO algorithm...
As one of the typical examples of Swarm Intelligence Algorithm, POS has been applied successfully in many fields. But it cannot guarantee a globally optimal solution. To improve that, researchers use related theories in quantum mechanics combined with the basic convergence of particle swarm and put forward a new model of PSO as Quantum-behaved PSO. The new algorithm is convenient for appliance and...
According to the flight path planning problem in dynamic environment, this paper gives a method of analysis. First, the radar threat field based on Voronoi diagram is created, and the track performance indicators established based on radar threat cost and fuel cost. Then the dijkstra algorithm was improved, and the algorithm is used for path planning in dynamic environment‥ Finally, the simulation...
This paper develops an opposition-based learning harmony search algorithm with mutation (OLHS-M) for solving global continuous optimization problems. The proposed method is different from the original harmony search (HS) in three aspects. Firstly, opposition-based learning technique is incorporated to the process of improvisation to enlarge the algorithm search space. Then, a new modified mutation...
With the development of intelligent algorithm, GA and PSO have become the hot spot for the study on multi-objective optimization in recently years. Information sharing is the core of PSO algorithm, Comparing with GA, PSO algorithm has less variables to adjust and is easy to achieve, so it is widely used in engineering. This paper focus on the comparation on several PSO algorithm and introduce a kind...
Harmony search algorithm is a good intelligent optimization algorithm, but it is not high robustness and large random. So combining variable metric method of the better local search ability, Harmony Search Algorithm based on variable metric method is proposed. Giving the theory of the basic harmony search algorithm and variable metric method, the specific processes of the improved algorithm is analyzed,...
Bicolor water level gauge is the important equipment for industrial boiler. Machine recognition of water level image makes the traditional video monitoring system more intelligent. In this paper, the recognition algorithms such as improved BP neural network and feature matching are studied and compared. Experiments show that the recognition rate of latter approach is up to 100% with high identifying...
In order to improve water supply in the path optimization problems, an improved Ant Colony based on the mathematical model of water supply is put forward to figure out optimization algorithm. Using the improved ant colony algorithm research water supply pipe network optimization problems. The inspire information was normalized process and the global strategy preferred node probability select based...
In this paper, we consider the problems of fault detection for heavy-haul trains equipped with electronically controlled pneumatic (ECP) brake systems. A longitudinal dynamical model which has been successfully validated is used to simulate the actual situation. Based on the model, a set of unknown input observers which are adopted to estimate locomotives' state is constructed, and observers can determine...
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