In this paper, the finite horizon mixed H 2 /H ∞ control problem is studied for the systems governed by Ito-type nonlinear stochastic differential equations with state, control and external disturbance-dependent noi...
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In this paper, the finite horizon mixed H 2 /H ∞ control problem is studied for the systems governed by Ito-type nonlinear stochastic differential equations with state, control and external disturbance-dependent noise. It is shown that the mixed H 2 /H ∞ control under consideration is associated with the four cross-coupled Hamilton-Jacobi equations in nonlinear case. Some necessary and/or sufficient conditions for the existence of finite horizon stochastic H 2 /H ∞ controllers are derived. In particular, some previous results on deterministic and stochastic H ∞ (H 2 /H ∞ ) can be viewed as simple corollaries of our main theorems
A typical servicing operation in space mainly includes three phases: capturing the target, berthing and docking the target, and repairing the target. The attitude of a satellite usually changes after the capturing, be...
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A typical servicing operation in space mainly includes three phases: capturing the target, berthing and docking the target, and repairing the target. The attitude of a satellite usually changes after the capturing, because the control system is turned off during this phase for safety reasons. In this paper, a method is proposed to achieve the berthing of the target and reorientating the satellite attitude at the same time, both by involving manipulator motion only. Firstly, the constraints on the manipulator and the objective function are defined according to the planning problem. Then the joint trajectory is parameterized by sinusoidal function, whose argument is the polynomial. Finally, genetic algorithm is used to search for the global optimal resolution of the parameters. When the parameters are found, each joint trajectory can be determined. This planned trajectory is smooth and more applicable for the control of the free-floating robotic system. Our proposed method is verified by simulation
Gaussian kernel is widely used in Support Vector Machines and many other kernel methods, and it is most often deemed to provide a local measure of similarity between vectors, which causes large storage requirements an...
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Gaussian kernel is widely used in Support Vector Machines and many other kernel methods, and it is most often deemed to provide a local measure of similarity between vectors, which causes large storage requirements and large computational effort for transforming images to vectors owing to its viewing images as vectors. A novel matrix norm based Gaussian kernel (M-Gaussian kernel) which views images as matrices is proposed to solve the problem. Experiments conducted on ORL face database show the effectiveness of the proposed M-Gaussian kernel.
In order to achieve micro-wound, intelligence and high efficiency for fracture setting, intelligent setting system for fracture is proposed in accordance with biomechanics and fracture therapy theory. In the comprehen...
On-orbital services of space robot are playing more and more important roles in the space operation. Nearly all space operation can not possibly avoid to contact the target. The contact and impact do not possibly avoi...
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On-orbital services of space robot are playing more and more important roles in the space operation. Nearly all space operation can not possibly avoid to contact the target. The contact and impact do not possibly avoid when the space robot captures the object. The impulse caused by impact is bad to the space robot and object. This paper derives the impact dynamic equations according to the dynamic model of space robot system and the object. We propose a genetic algorithm (GA) based on approach to search the optimal configuration of space robot at capturing moment in order to minimize or avoid the impact. An illustrative example has verified that the proposed method has satisfactory performance and real significance for reducing the impact.
This paper first gives a 3-D profile of light intensity in fiber end-face and analyzes the consequences of initial offset and angular misalignment between a single-mode fiber and a laser diode coupling. Compared with ...
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This paper first gives a 3-D profile of light intensity in fiber end-face and analyzes the consequences of initial offset and angular misalignment between a single-mode fiber and a laser diode coupling. Compared with conventional Hill-climbing algorithm, a novel method for optical fiber alignment using Simplex Genetic Algorithm Hybrid (SGAH) is presented. The Simplex method is a local searching method. Combined with Genetic Algorithm (GA), this method converges quickly and can amend the defect that GA converges slowly. Considering the poor individual diversity caused by little population of fiber alignment, the expansion and contraction coefficients of simplex method are improved. Simulation result also shows that new algorithm can reach the best coupling point within 10 generations.
Stream cipher has always been one of the most important encryption methods in cryptography. Now we bring in a stream cipher encryption chip design which is based on neural network algorithm and it not only contains th...
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Stream cipher has always been one of the most important encryption methods in cryptography. Now we bring in a stream cipher encryption chip design which is based on neural network algorithm and it not only contains the good statistics of m-sequence but also enhances the periodicity and linear complexity of the output sequences. We use FPGA technology to complete the stream cipher circuit design and the modern electronic design method to smoothly realize operation functions and sequential assignment. The result of logical synthesis simulation verifies the correctness of the chip circuit. This research is helpful to the application of stream cipher algorithm in information security and modern secure communication equipment.
The phase-only pupil filtering heterodyne confocal measurement method is a new approach for improving the spatial resolution of a laser probe measurement system(LPMS) for ultra-precise measurement of micro-structural ...
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The phase-only pupil filtering heterodyne confocal measurement method is a new approach for improving the spatial resolution of a laser probe measurement system(LPMS) for ultra-precise measurement of micro-structural workpieces. The proposed approach uses a phase-only pupil with lateral superresolution capability for sharpening the lateral main lobe of the Airy spot to improve the LPMS lateral resolution and uses the heterodyne confocal measuring method to improve the LPMS axial resolution, and thereby improving the LPMS spatial resolution. Experimental comparison and analyses indicate that the lateral resolution of a phase-only filtering heterodyne system can be improved by 50% that of an LPMS with the same parameters, and a lateral resolution better than 0.2 μm and an axial resolution of 2 nm can be achieved when the wavelength of the incident λ = 632.8 nm, the numerical aperture of the measuring lens NA = 0.85, and uM = 4. It is therefore concluded that the approach proposed can be used for ultra-precise measurement of surface micro-contours and micro-dimensions.
An efficient fusion strategy called discriminant feature fusion strategy for supervised learning is proposed to seek the optimal fusion coefficients of feature fusion. Contributions of this paper lie in: 1) creating a...
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An efficient fusion strategy called discriminant feature fusion strategy for supervised learning is proposed to seek the optimal fusion coefficients of feature fusion. Contributions of this paper lie in: 1) creating a constrained optimization problem based on maximum margin criterion for solving the optimal fusion coefficients, which causes that fused data has the largest class discriminant in the fused feature space; 2) keeping an unique solution of optimization problem by transforming the optimization problem to an eigenvalue problem, which causes the fusion strategy to reach a consistent performance. Besides of the detailed theory derivation, many experimental evaluations also are presented in this paper.
This paper treats with the regulator theory of nonlinear stochastic systems. The contributions of this paper are as follows: firstly, by applying the stochastic LaSalle's invariant principle, the constrained end-p...
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This paper treats with the regulator theory of nonlinear stochastic systems. The contributions of this paper are as follows: firstly, by applying the stochastic LaSalle's invariant principle, the constrained end-point regulator problem of affine stochastic systems is studied. Secondly, it is shown that the infinite horizon free end-point regulator can be viewed as the limit of finite horizon optimal regulator
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