The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulatio...
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The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulation of the designed controller based on MATLAB fuzzy logical toolbox is proposed. And the fuzzy controller is realized using freescale fuzzy inference machine. It is successfully applied in the automatic route tracking. The hardware design of the smartcar introduced. Then, the process of establishing the fuzzy controller is described in detail, including the choice of fuzzy input and output variables, linguistic values, domain, input and output membership functions, rule base, fuzzification, rule inference, defuzzification. The validity of the designed controller is verified by MATLAB simulation and actual operating results.
Recently, smart surveillance is becoming a very important application of camera sensor networks. Most face recognition and tracking techniques employed in surveillance systems rely on the assumption of a frontal view ...
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Recently, smart surveillance is becoming a very important application of camera sensor networks. Most face recognition and tracking techniques employed in surveillance systems rely on the assumption of a frontal view of the human face. In order to detect the precise face orientation by cooperation among multiple cameras, we need to guarantee that each point in monitored region be covered by more than one camera. In this paper, we address the problem of Directional if-Coverage (DKC) in camera sensor networks. The DKC problem is different from that in conventional sensor networks due to the two aspects: directionality of sensing model and effective sensing. In particular, we propose a mathematical model to describe the relation among the number of cameras deployed randomly, the range of effective sensing angle, and the rate of directional if-coverage. Finally, we use simulations to show the effectiveness of deploying our model in practical scenarios.
Most existing works on sensor coverage mainly concentrate on the full coverage models which ensure that all points in the deployment region are covered at the expense of high complexity and cost. In contrast, the expo...
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Most existing works on sensor coverage mainly concentrate on the full coverage models which ensure that all points in the deployment region are covered at the expense of high complexity and cost. In contrast, the exposure-path prevention does not require full coverage sensor deployment, and instead it only needs the partial coverage, because the exposure paths are prevented as long as no moving objects or phenomena can go through a deployment region without being detected. Towards this end, we focus on the partial coverage by applying the percolation theory to solve the exposure path problem for wireless sensor networks. We propose a bond-percolation theory based scheme by mapping the exposure path problem into a bond percolation model. Using this model, we derive the critical density where sensors are deployed according to a 2-dimensional Poisson process. We evaluate our proposed model by simulations.
In this paper, we address the problem of localization-oriented optimal cameras selection based upon a tradeoff between the accuracy of target localization and the energy consumption in camera sensor networks. We model...
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In this paper, we address the problem of localization-oriented optimal cameras selection based upon a tradeoff between the accuracy of target localization and the energy consumption in camera sensor networks. We model the addressed problem into the combined optimization problem of selecting a sequence of sets to minimize the cost while achieving a specified utility. Using the vision-based localization model, we construct an entropy-based utility function. This utility function quantizes reduction in the entropy of the target location distribution according to the fusion of the selected camera observations with the prior target location distribution. Furthermore, we design an algorithm to find the optimal subset of cameras based on the criteria: minimizing the cost while attaining a specified accuracy of localization. We conduct experiments to validate and evaluate our proposed scheme.
We consider the output feedback stabilizability of networked control systems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback c...
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We consider the output feedback stabilizability of networked control systems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback controllers by resolving some linear matrix inequalities. Moreover, two types of packet-loss processes are discussed: one is the arbitrary packet-loss process, and the other is the Markovian packet-loss process. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design technique.
This is a continue work in studying the wave propagation in elastic square columns. Based on the analytic dispersive equation, group velocity equation and steady response obtained from the previous work, the analytic ...
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This is a continue work in studying the wave propagation in elastic square columns. Based on the analytic dispersive equation, group velocity equation and steady response obtained from the previous work, the analytic transient response of unlimited column was derived when the propagating wave pursuing method was introduced. Then a calculation was represented, the transient responses were plotted of unlimited square columns, and the propagation waves in limited and unlimited columns were compared.
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