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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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.
Kalman filtering techniques have been widely used in many applications, however, standard Kalman filters for linear Gaussian systems usually cannot work well or even diverge in the presence of large model uncertainty....
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Kalman filtering techniques have been widely used in many applications, however, standard Kalman filters for linear Gaussian systems usually cannot work well or even diverge in the presence of large model uncertainty. In practical applications, it is expensive to have large number of high-cost experiments or even impossible to obtain an exact system model. Motivated by our previous pioneering work on finite-model adaptive control, a framework of finite-model Kalman filtering is introduced in this paper. This framework presumes that large model uncertainty may be restricted by a finite set of known models which can be very different from each other. Moreover, the number of known models in the set can be flexibly chosen so that the uncertain model may always be approximated by one of the known models, in other words, the large model uncertainty is “covered” by the “convex hull” of the known models. Within the presented framework according to the idea of adaptive switching via the minimizing vector distance principle, a simple finite-model Kalman filter, MVDP-FMKF, is mathematically formulated and illustrated by extensive simulations. An experiment of MEMS gyroscope drift has verified the effectiveness of the proposed algorithm, indicating that the mechanism of finite-model Kalman filter is useful and efficient in practical applications of Kalman filters, especially in inertial navigation systems.
A biomimetic underwater vehicle propelled by two undulating long-fins is introduced in this paper. The concerned vehicle is propelled by two symmetrical undulating long-fins installed on both sides. Ten servo motors a...
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A biomimetic underwater vehicle propelled by two undulating long-fins is introduced in this paper. The concerned vehicle is propelled by two symmetrical undulating long-fins installed on both sides. Ten servo motors are employed to drive the long-fins and cosine wave function is employed for motor control. A real-time control system is designed for controlling the long-fins by adjusting its oscillating frequency and oscillating amplitude. An inertial measurement unit is installed to collect the accelerations and angular velocity. To obtain the relationship between oscillating frequency/amplitude and swimming performance, kinematic analysis and hydromechanic analysis are given. By dividing the long-fin into many small elements and computing the hydrodynamic force acting on each element, the instantaneous thrust generated by the long-fin is obtained. Then the average thrust of the long-fin is obtained by summing up the forces acted on the elements in one undulating period. Then swimming experiments are carried out to validate the vehicle design and kinematic analysis and hydromechanic analysis. And two swimming motion modes including marching and rotating locomotion are chosen. Finally, discussions between the swimming performance and the oscillating parameters are given.
This paper is concerned with the state estimation of a linear dynamic system and the fusion of asynchronous multirate multisensor *** dynamic system is described at the finest scale with multiple sensors observing a s...
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ISBN:
(纸本)9781479900305
This paper is concerned with the state estimation of a linear dynamic system and the fusion of asynchronous multirate multisensor *** dynamic system is described at the finest scale with multiple sensors observing a single target independently at different scales with different sampling *** main result is that the multiscale measurements are properly formulated,and an optimal recursive fusion algorithm is presented.A numerical example is given to show the feasibility and efficiency of the algorithm.
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