This paper proposed a H∞ based controller design method for MIMO *** use the bound real lemma to design the controller when the reference model is *** BMI (Bi-linear Matrix Inequality) problem is turned into a LMI (L...
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This paper proposed a H∞ based controller design method for MIMO *** use the bound real lemma to design the controller when the reference model is *** BMI (Bi-linear Matrix Inequality) problem is turned into a LMI (Linear Matrix Inequality) problem by congruence transformation and variables *** a decoupled reference model, the decoupling controller can be obtained by *** apply the method to a linearized vehicle model and the simulation results show the effectiveness of the approach.
作者:
Panpan HouJianming CuiDing JiupingFeng XiaoMing YuchiGuohui ZhangYing WuWei WangWenping ZengMingyue DingZhengxing WuDepartment of pharmacology
Soochow University college of pharmaceutical Sciences SuzhouChina Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Department of Biomedical Engineering College of Life Science and Technology Wuhan China Department of Biomedical Engineering Center for the Investigation of Membrane Excitability Disorders Cardiac Bioelectricity and Arrhythmia Center Washington University St Louis MOUSA Key Laboratory of Molecular Biophysics
Huazhong University of Science and Technology Ministry of Education College of Life Science and Technology Wuhan China Department of Biomedical Engineering Center for the Investigation of Membrane Excitability Disorders Cardiac Bioelectricity and Arrhythmia Center Washington University St Louis MOUSA
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Re-entry aircraft depends on aerodynamic force during flight. Because of windward rudder and lee rudder, there certainly exists aerodynamic coupling among pitch channel, yaw channel and roll channel under the situatio...
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A variant of spiking neural P systems was recently investigated by the authors, using astrocytes that have excitatory and inhibitory influence on synapses. In this work, we consider this system in the non-synchronized...
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Multi micro parts recognition is one of the important tasks for the assembly of multi micro objects in micromanipulation. Zernike moments have been widely used as invariant features in many image analysis and pattern ...
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A time-based nested partition (NP) approach is proposed to solve resource-constrained project scheduling problem (RCPSP) in this paper. In iteration, one activity is selected as the base point of which the finish ...
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A time-based nested partition (NP) approach is proposed to solve resource-constrained project scheduling problem (RCPSP) in this paper. In iteration, one activity is selected as the base point of which the finish time interval calculated by CPM is divided into two parts to form two subregions on the basis of the promising region of the last iteration. Then sampling is taken in both subregions and the surrounding region to determine the promising region and aggregate the other as the surrounding region of this iteration so that whether the backtracking or the moving operation being performed is determined. Double justification is also performed in iteration to improve the results. The results of numerical tests on PSPLIB show the effectiveness and time-efficient of the proposed NP method.
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The focus of this paper is the design and development of an automatic system for microassembly. The automatic processing is made possible by (i) the development of a machine vision algorithm to identify the targets and end-effectors, (ii) an uncalibrated visual servoing algorithm to lead the end-effector to grasp the micro-pieces and then assemble the target. The experimental results demonstrate that this prototype microassembly system is effective and practicable for automatic microassembly applications.
It is difficult to guide the entry vehicle to prescribed area due to the disperse of environment and kinematics. Through predicted residual range at the current state based on drag acceleration, we developed a predict...
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It is difficult to guide the entry vehicle to prescribed area due to the disperse of environment and kinematics. Through predicted residual range at the current state based on drag acceleration, we developed a predictor-corrector guidance law which doesn't need iteration to figure out the reference trajectory. Then using extended state observer based controller to track the reference trajectory. We use several missions(under various disperse conditions) to test the guidance law. Simulation results demonstrated that the guidance law is able to achieve the prescribed terminal conditions under various perturbations in the aerodynamic coefficients, the density of the atmosphere and the mass of the vehicle.
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