In this paper, we explore the technology of tracking a group of targets with correlated motions in a wireless sensor network. Since a group of targets moves collectively and is restricted within a limited region, it i...
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In this paper, we explore the technology of tracking a group of targets with correlated motions in a wireless sensor network. Since a group of targets moves collectively and is restricted within a limited region, it is not worth consuming scarce resources of sensors in computing the trajectory of each single target. Hence, in this paper, the problem is modeled as tracking a geographical continuous region covered by all targets. A tracking algorithm is proposed to estimate the region covered by the target group in each sampling period. Based on the locations of sensors and the azimuthal angle of arrival (AOA) information, the estimated region covering all the group members is obtained. Algorithm analysis provides the fundamental limits to the accuracy of localizing a target group. Simulation results show that the proposed algorithm is superior to the existing hull algorithm due to the reduction in estimation error, which is between 10% and 40% of the hull algorithm, with a similar density of sensors. And when the density of sensors increases, the localization accuracy of the proposed algorithm improves dramatically.
In this paper, we consider the global output feedback stabilization problem for a class of nonlinear planar systems under a more general growth condition. The nonlinearities in such a system are bounded by both lower-...
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In this paper, we consider the global output feedback stabilization problem for a class of nonlinear planar systems under a more general growth condition. The nonlinearities in such a system are bounded by both lower-order and higher-order terms with an output-dependent growth rate. This problem is solved by integrating the feedback domination technique and a novel dual observer approach, where two individual observers are constructed in parallel with one estimating the linear part of the unmeasurable state and the other estimating the higher-order part. Moreover, the presented observers and the output feedback controller all have nonlinear gains. Simulations illustrate the effectiveness of the proposed stabilization scheme.
Till now, most lawn is still irrigated manually or timely. That means lack of proper irrigation strategy and information management ability. However, irrational irrigation method will not only lead to unhealthy growth...
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Till now, most lawn is still irrigated manually or timely. That means lack of proper irrigation strategy and information management ability. However, irrational irrigation method will not only lead to unhealthy growth of lawn, but also waste of water. A new idea for lawn intelligent remote irrigation was put forward. The smart sprinkler strategy was created by researching the characters of lawn, such as water demand, heat resistance and diseases law. And the embeded control system can apply the strategy to irrigate intelligently. Tying the urban lawn features, the system was designed to be driven by solar, which makes it an energy self-sufficiency system. What's more, the sprinkler system gains the CAN bus-based network management function, which simplify the user's contol and management. Finally, the experimental results show that the system has the advantages of good effect, low cost, high reliability, easy maintenance, etc. And it will meet the demand of energy saving and environmental protection.
A running stability prediction model faced to wind turbine equipment group based on Internet of Things (IOT) is research. It's beneficial to improve the running stability of key equipment group and promote the eme...
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A running stability prediction model faced to wind turbine equipment group based on Internet of Things (IOT) is research. It's beneficial to improve the running stability of key equipment group and promote the emerging IOT technology application in equipment maintenance. The prediction model mainly includes the system of remote online sample acquisition and prediction method of running stability based on IOT. The running trend feature is extracted from vibration signals, and a genetic algorithm optimization neural network prediction model based on mean function new information-weighted theory is applied to predict running stability deterioration. The results show that prediction model has good performance on prediction accuracy and real-time prediction.
This paper presents a composite disturbance rejection control strategy for high purity binary distillation column with complex characteristics, such as couplings, non-minimum phase, model mismatches and external distu...
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This paper presents a composite disturbance rejection control strategy for high purity binary distillation column with complex characteristics, such as couplings, non-minimum phase, model mismatches and external disturbances. Main goal of the controller is to get the desired top and bottom compositions in presence of both model mismatches and external disturbances. The composite controller includes neural network inverse controller (NNIC) and neural network disturbance observer (NNDOB) both using radial basis function network (RBFN). The inverse model of the system is identified by RBFN, whose stability is proved via the Lyapunov function analysis. And a rigorous analysis is also given to show why the NNDOB can effectively suppress the disturbances. Performance of the proposed scheme is compared with PID and NNIC schemes in two cases. The feasibility, effectiveness and disturbance rejection property of the proposed method are demonstrated by the simulation studies.
Mining comprehensive protector (hereinafter referred to as "MCP") can monitor and protect the mining environment control system, whose working status directly affects the working surface of the environment, ...
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For the existing problem of conventional adaptive control and multi-model adaptive switching control theory and method, a robust adaptive control via multi-model switching method for the SISO(Single Input Single Outpu...
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For the existing problem of conventional adaptive control and multi-model adaptive switching control theory and method, a robust adaptive control via multi-model switching method for the SISO(Single Input Single Output) discrete systems. Many multi-model subsets have override the model set of the system parameters, which consist of the fixed models and adaptive models together. The best matching controller has been selected as the system controller from the design of the switching index function, which can greatly improve the system transient performance. Simulation results show that the proposed algorithm has greatly enhanced the robustness of the system and improved the transient characteristics of dynamic systems.
For a class of nonlinear differential-algebraic equations subsystems, whose index is one and interconnection is local measurable, the inversion control problem is studied by extending Interactor algorithm of nonlinear...
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For a class of nonlinear differential-algebraic equations subsystems, whose index is one and interconnection is local measurable, the inversion control problem is studied by extending Interactor algorithm of nonlinear ordinary differential equations systems. Compared with existing results, the proposed method in this paper bears better realization because of no complex matrix transformation being needed. Firstly, the definition of right inverse systems is presented. Secondly, an extended Interactor algorithm is proposed to judge whether the controlled systems are invertable. Once the controlled systems are invertable, a physical realizable right inverse system is constructed, with which the controlled systems are made linearization and decoupled so that linear control methods can be applied. Finally, an excitation controller is designed for one synchronous generator of multi-machine power systems based on the proposed method in this paper. The simulation results illustrate the validity of the proposed control method in this paper.
Based on the quadruped robot, this paper mainly studies the two directions of the content. The first part mainly introduces the mechanical structure design and the construction of the control system of the quadruped r...
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Based on the quadruped robot, this paper mainly studies the two directions of the content. The first part mainly introduces the mechanical structure design and the construction of the control system of the quadruped robot, completes the prototype design of the quadruped robot based on hydraulic power system. The second part studies the CPG gait generate method of the quadruped robot based on iterative learning control algorithm. From the principle of bionics, firstly, we use the CPG principle to generate gait, and then use the iterative learning control theory to make the control more optimization.
This paper discusses the design of the mechanical structure of a quadruped robot and a three-dimensional simulation model is built under Adams simulating the mechanism's motion to capture the dynamic characteristi...
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ISBN:
(纸本)9781467329705
This paper discusses the design of the mechanical structure of a quadruped robot and a three-dimensional simulation model is built under Adams simulating the mechanism's motion to capture the dynamic characteristics of the quadruped *** paper analyses the effect of the length of legs on the walking structure from different aspects: its movement speed,capability of climbing obstacles and the workspace of its foot *** addition,to achieve the optimization target of balancing the output force of each hydraulic cylinder,the paper establishes a mathematical model under required constraints working out the lever members that accommodated with the *** all these factors,the most satisfied structural parameters of the autonomous quadruped robot are selected.
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