An overview of the modeling, optimization and control issues regarding digital ground-based weapon systems is provided by reviewing the previous works along five research lines: 1) design and optimization of the archi...
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A literature review regarding intelligent optimized control (IOC) is provided along the branches including fuzzy optimized control, neural optimized control, fuzzy-neural optimized control, intelligent optimizers base...
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作者：
Xia, YuanqingLiu, BoSchool of Automation
Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China
Summary This paper is devoted to the detection of abrupt changes for multiple-input, multiple-output (MIMO) linear systems based on frequency domain data. The real discrete-time Fourier transform is used to map the me...
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This paper is concerned with the design of networked controlsystems with random network data dropout. It presents a new control scheme, which is termed networked predictive control. This scheme mainly consists of the...
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This paper is concerned with the problem of data-driven predictive control for networked controlsystems (NCSs), which is designed by applying the subspace matrices technique, obtained directly from the input/output d...
This paper is concerned with the problem of data-driven predictive control for networked controlsystems (NCSs), which is designed by applying the subspace matrices technique, obtained directly from the input/output data transferred from networks. The networked predictive control consists of the control prediction generator and network delay compensator. The control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance and the network delay compensator eliminates the effects of the network transmission delay. The effectiveness and superiority of the proposed method is demonstrated in simulation as well as experiment study.
The information fusion of vision sensor and Millimeter Wave(MMW) radar can enhance the adaptability of the Unmanned Ground Vehicle(UGV) to the complex environment. Space alignment is the basic step of information fusi...
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The information fusion of vision sensor and Millimeter Wave(MMW) radar can enhance the adaptability of the Unmanned Ground Vehicle(UGV) to the complex environment. Space alignment is the basic step of information fusion. Based on the alignment problems camera and MMW radar has existed, firstly, according to the max velocity of UGV and the different attention on the close and far object, the calibration distance is determined and divided; then, a space alignment method is presented through the corresponding space point sets in image pixel coordinate of camera and polar coordinate of MMW radar. the results are verified through the experiment and the error is also analyzed.
In this paper,a time-varying sliding model control(TVSMC) based guidance law against nonmaneuvering targets is proposed with impact angle *** algorithm is first designed for constant-speed interceptors to attack stati...
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ISBN:
(纸本)9781479900305
In this paper,a time-varying sliding model control(TVSMC) based guidance law against nonmaneuvering targets is proposed with impact angle *** algorithm is first designed for constant-speed interceptors to attack stationary and constant-velocity targets,and the global robustness of the system is ***,an adaptation strategy,adaptive time-varying sliding model control(ATVSMC),is adopted to deal with unknown but bounded disturbances by adjusting the switching gain *** analysis of the closed loop system is obtained through Lyapunov ***,numerical simulation results are presented to verify the effectiveness and robustness of the proposed guidance law.
This paper is concerned with stability analysis of networked controlsystems with aperiodic sampling and time-varying delay. The sampling times are assumed to vary within a known interval. The network-induced delay is...
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ISBN:
(纸本)9781479900305
This paper is concerned with stability analysis of networked controlsystems with aperiodic sampling and time-varying delay. The sampling times are assumed to vary within a known interval. The network-induced delay is assumed to belong to a given interval. The closed-loop system is modeled as a system with two time-delays and normbounded uncertainties coming from variations of sampling intervals. Using common Lyapunov function approach, a sufficient stability condition for the closed-loop system is derived and presented in terms of linear matrix inequality (LMI). A numerical example is given to illustrate the effectiveness of the proposed method.
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