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The Response surface methodology provides a way to engineering optimization problems of the turbomachinery. Using a prototypical Artificial Neural Networks (ANN) problem, turbomachinery aerodynamic optimization can improve the efficiency and performance. This study explores the approximation of the turbomachinery objective function which has a significant impact on the accuracy and effectiveness of...
Based on piecewise quadratic Lyapunov function method, this paper first provides stability condition for the autonomous uncertain piecewise discrete-time linear systems, which is a feasibility problem of linear matrix inequalities (LMIs). Then the robust control with a-stability constraint via state feedback controller for uncertain piecewise discrete-time linear systems is presented. It is shown...
This paper deals with a nonlinear model predictive control designed for a boiler unit. The predictive controller is realized by means of a recurrent neural network which acts as an one-step ahead predictor. Then, based on the neural predictor, the control law is derived solving an optimization problem. Fault tolerant properties of the proposed control system are investigated. A set of 12 faulty scenarios...
Taking a road intersection in the front of Harbin province government as an example and combining with the road capacity of Harbin in winter, the microscopic simulation of traffic flow is conducted using VISSIM. The reason of traffic jams in the road intersection is found out. Different solutions to solve it such as Intersection channelization and signal timing are proposed. They are compared and...
Coordination is essential for improving supply chain performance. This paper studies channel coordination through buy-back contract between a two stage supply chain consisting of one dominant retailer and one manufacturer trading perishable goods. The coordination between the two parties is achieved through buy back contract in such a way that their respective profit is better than that resulted from...
Reliable and timely decision on target onset is the key of decision-based single-model techniques for maneuvering target tracking, and the performance of maneuver detector can be improved by making use of Doppler measurement extensively. In this paper, a novel approach for detecting unknown maneuver is proposed. To avoid the unresolvedness of acceleration estimator when measurement noise level is...
In this study we develop a feedback controller for a four wheeled autonomous mobile robot. The purpose of the controller is to guarantee robust performance of an aggressive maneuver (90 degrees turn) at high velocity (about 10 m/s) on a loose surface (dirty road). To tackle this highly nonlinear control problem, we employ multi-objective evolutionary algorithms to explore and optimize the parameters...
This paper proposes a systematic approach of determining the optimal amplitude taper for a shared aperture linear array that possesses true-time-delay (TTD) multiple beam functionality. Conventionally, uniform taper is used to achieve maximum gain, while Taylor taper is widely used in low side lobe applications. However, when multiple beams are generated across ultra-wideband frequencies, they seem...
In this paper, we established a soft sensor model to calculate the moisture of polymer electrolyte membrane fuel cells by artificial neural network. We trained ANN by an improved ant colony algorithm. Experimental tests indicate that the simulation results of PEMs' moisture are very close to real values, and the method possesses high precision and speed and can meet actual demands. This soft sensor...
The problem of construction the neuronetworking systems for non-stationary information adaptive processing at various practical applications is formulated. The developed methods and algorithms of neural network training subset formation allow to take into account the conditions of information transfer, variation of statistical parameters and dynamic properties of data. The controlling algorithms which...
Taking advantage of the feature that the energy of the image would gather and spread on four components (LL2, LH2, HL2 and HH2) in the sub-image after first-order CARDBAL2 multi-wavelet transform, propose an Information Hiding Algorithm based on CARDBAL2 transform and DCT. According to the algorithm, LL2 is embedding module of robust parameters (odd-even verification data, scrambling optimization...
In this paper, we apply distributed optimization dynamics of the mutually connected neural networks to RAN selection in heterogeneous type cognitive wireless networks. We evaluate the performance of the proposed approach by implementing it on an experimental heterogeneous wireless network system called Cognitive Wireless Cloud, which supports vertical handover between different radio access networks...
This paper deals with time-optimization of trajectories of wheeled robots within the speed and other constraints. The cubic Hermite spline curve with the method of speed profile computation is used to determine the trajectory. This method is summarized and extended to allow the optimization with the described constraints. It ensures fulfilment of required initial parameters of motion. The parameters...
The nature of reflectarray (RA) optimization problems is intrinsically multi-target and therefore the use of a multi-objective optimization scheme is particularly convenient, although it can be computationally expensive. In this paper some considerations on the characterization and optimization of a RA are presented. The results of the use of efficient approaches for the modeling of the planar RA...
Choosing optimal hyperparameters for Support Vector Machines (SVMs) is quite difficult but extremely essential in SVM design. This is usually done by minimizing estimates of generalization error such as the k-fold cross-validation error or the upper bound of leave-one-out (LOO) error. However, most of the approaches concentrate on the dual optimization problem of SVM. In this paper, we would like...
Failure of rectifier circuit has the characteristics of latency and complexity, which leads to the difficulty to fault diagnosis for rectifier circuit. A new method of optimizing support vector machine (SVM) by using ant colony optimization algorithm is presented to fault diagnosis for rectifier circuit in the paper. The experimental object is provided and the six ACO-SVM classifiers are developed...
In this paper, it is shown how a Leaky Integrate and Fire (LIF) neuron can be applied to solve non-linear pattern recognition problems. Given a set of input patterns belonging to K classes, each input pattern is transformed into an input signal, then the LIF neuron is stimulated during T ms and finally the firing rate is computed. After adjusting the synaptic weights of the neuron model, we expect...
A CMAC (Cerebellar Model Articulation Controller) network combined with PID (Proportion Integration Differential) control method was proposed in this paper. Aiming at the characteristics such as multivariable, strong coupling, nonlinear and time-varying parameters for the turbine regulating system, an improved mutative scale chaotic optimization algorithm was used for tuning the weight parameters...
This paper brings forward a method to control the battle situation on the base of ammunition-to-target distribution after targets threaten evaluation. The method aims at the real needs of aerial warfare, owns the characteristics of complicacy and real-time. At first, the paper found a threat evaluation model combining the priority of battlefield situation and aerial warfare situation, and then input...
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