with a two-compartment model, we investigate how subthreshold sinusoidal electric fields(EFs) affect neuronal discharges of active neurons by adjusting the field intensity and the field frequency. It's found that ...
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ISBN:
(纸本)9781467374439
with a two-compartment model, we investigate how subthreshold sinusoidal electric fields(EFs) affect neuronal discharges of active neurons by adjusting the field intensity and the field frequency. It's found that apparent fluctuations on neuronal discharges only appear within several stimulus frequency windows. And when the field frequency is adjusted to be close to the multiple of the intrinsic spiking rate, the fluctuations are maximized. Compared with the change in neuronal spiking rate, the modulation of neuronal spike timing induced by subthreshold EFs is stronger. Additionally, field effects on neuronal discharges are enhanced by the increasing stimulus intensity. Our results provide useful guidance to understand how subthreshold sinusoidal EFs modulate neuronal discharges, which may help to improve the future electromagnetic therapy.
Based on the two-compartment neuron model, the influence of neuronal morphology on firing and phase response curves(PRC) of cells are investigated. And by means of PRC, the relationship between neuronal morphology and...
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ISBN:
(纸本)9781467374439
Based on the two-compartment neuron model, the influence of neuronal morphology on firing and phase response curves(PRC) of cells are investigated. And by means of PRC, the relationship between neuronal morphology and network synchronization stimulated by extracellular electric field is studied. Results showed that the excitability of neurons can present different types when the morphological parameter is different. Furthermore, the sensitivity of neuronal synchronization to extracellular electric field has big difference for different morphological parameters.
A nonlinear robust controller was presented to improve the tracking control performance of a flexible air-breathing hypersonic vehicle(AHV) which is subjected to system parametric uncertainties and unknown additive ti...
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A nonlinear robust controller was presented to improve the tracking control performance of a flexible air-breathing hypersonic vehicle(AHV) which is subjected to system parametric uncertainties and unknown additive time-varying *** longitudinal dynamic model for the flexible AHV was used for the control ***-gain observers were designed to compensate for the system uncertainties and additive *** gain theorem and Lyapunov based stability analysis were utilized to prove the stability of the closed loop *** uniformly ultimately bounded tracking of the vehicle's velocity,altitude and attack angle were achieved under aeroelastic effects,system parametric uncertainties and unknown additive ***/Simulink simulation results were provided to validate the robustness of the proposed control *** simulation results demonstrate that the tracking errors stay in a small region around zero.
An improved command switching control strategy is proposed to solve the multi-objective switching control problem with the acceleration and temperature safety protection for turbofan aero-engines. An improved switchin...
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ISBN:
(纸本)9781467374439
An improved command switching control strategy is proposed to solve the multi-objective switching control problem with the acceleration and temperature safety protection for turbofan aero-engines. An improved switching law is designed to avoid frequent switching. Properly designed integrator reset technique is utilized to improve the thrust tracking *** control parameters can be optimized to obtain satisfactory safety and acceleration performance. The proposed switching controller is applied to a linear parameter-varying model of the aero-engine. Simulation shows that the proposed switching control strategy can bring the improvement on both safety and acceleration.
The hot rolled strip laminar cooling system is a complex industrial process, associated with features of strong nonlinear and changing operating conditions. So, the process is hard to control with traditional close lo...
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The hot rolled strip laminar cooling system is a complex industrial process, associated with features of strong nonlinear and changing operating conditions. So, the process is hard to control with traditional close loop control methods. But fortunately, there is the repeated characteristic in the laminar cooling process, which is very suited to apply the iterative learning between the strips. So, PI iterative learning method is proposed in this paper to learn the inner knowledge between the strips with similar working condition. On the other hand, in order to improve the control effect,CBR(case-based reasoning) technology is applied to adjust the parameters P and I according to the changing working conditions. The experiments are conducted with industrial operating data. The results show that, with the proposed method, it is effective to find the right operating point quickly and the strip coiling temperature can be controlled in the suitable range.
This paper addresses the problem of localization of multiple odor sources using a mobile robot in a time-variant airflow environment, and provides a mapping method which uses the Dempster-Shafer (D-S) theory to reason...
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This paper addresses the problem of localization of multiple odor sources using a mobile robot in a time-variant airflow environment, and provides a mapping method which uses the Dempster-Shafer (D-S) theory to reason the possible locations of several odor sources. In the proposed method, the robot carries out the D-S inference and iteratively updates a grid map in which each cell has two states (i.e., occupied by an odor source, and not occupied by odor source), using the successive measurements from a gas sensor and an anemometer when the robot is cruising in the given search area. Considering the fact that in outdoor environments air almost always flow and vary with time, estimated air-mass paths are used to construct the belief mass functions of the D-S inference. Here the air-mass path is defined as the trajectory most likely taken by an air mass encountered with the mobile robot in a time-varying airflow environment, and an air mass can contain odor molecules and bring them to the robot, or not contain odor molecule and just pass by the robot. Simulations are carried out and the results in a time-variant airflow environment show that the locations of the multiple odor sources can be mapped online with the proposed method.
This paper proposes a high-order sliding mode stator flux estimation method for asynchronous motor based on feedback linearization. Selecting the rotor flux as the system's output, the coordinate change matrix and...
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ISBN:
(纸本)9781467376839
This paper proposes a high-order sliding mode stator flux estimation method for asynchronous motor based on feedback linearization. Selecting the rotor flux as the system's output, the coordinate change matrix and the nonlinear state feedback are derived based on the affine nonlinear model of asynchronous motors by using the nonlinear system's differential geometry theory. Then the asynchronous motor system is input-output linearized and the feedback linearization model of asynchronous motors is obtained. On this basis, a high-order sliding mode rotor flux observer for asynchronous motor is designed to estimate rotor flux, and this paper analysis the stability of the designed observer, then we can calculate stator flux by using the rotor flux. The designed observer is applied to Direct Torque control (DTC) of the asynchronous motor and achieves a good control performance. Simulation results verify the effectiveness and feasibility of the proposed method.
In this paper,the problem of fault tolerant consensus control of linear multi-agent systems is investigated using two control protocols,namely,the fixed-gain control protocol and the adaptive-gain control *** the firs...
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ISBN:
(纸本)9781479947249
In this paper,the problem of fault tolerant consensus control of linear multi-agent systems is investigated using two control protocols,namely,the fixed-gain control protocol and the adaptive-gain control *** the first part,a fixed-gain control protocol is proposed which guarantees the consensus under all possible actuator *** a two-step constructive algorithm of the fixed-gain control protocol is *** the second part,the failure rate-based adaptive control protocol is developed to compensate for the failure effects on multi-agent *** of the fixed gain,the adaptive gain in the control protocol is time varying with respective to the online estimation of failure rates,which follows the projection operator adaptive ***,a criterion is derived for reaching consensus under the adaptive-gain control protocol when the multiagent systems are subjected to actuator *** procedures to construct the adaptive-gain control protocol are *** examples are finally included to illustrate the theoretical results.
This paper investigates Fault-Tolerant control for closed-loop systems where only coarse models are available and there is lack of actuator and sensor redundancies. The problem is approached in the form of a typical s...
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ISBN:
(纸本)9781479977970
This paper investigates Fault-Tolerant control for closed-loop systems where only coarse models are available and there is lack of actuator and sensor redundancies. The problem is approached in the form of a typical servomotor in closed-loop. A linear model is extracted from input/output data to describe the system over a frequency range. Two methods based on the Kalman Filter and Statistical Change Detection techniques are proposed for detecting degradation faults and component failures, respectively. Finally, a reference correction setup is used to compensate for degradation faults.
Due to the nonlinearities, model uncertainties and disturbances of the two-tank liquid level cascade system,active disturbance rejection controller(ADRC) solution was developed. First, a nonlinear mechanism model and ...
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Due to the nonlinearities, model uncertainties and disturbances of the two-tank liquid level cascade system,active disturbance rejection controller(ADRC) solution was developed. First, a nonlinear mechanism model and its linearized model were built based on the theories of fluid dynamics for the system. Second, first-order linear ADRCs for the outer loop of the two cascade systems with an unknown order were designed, respectively. With a simple integrator as the normalized type of the feedback system, other parts of dynamic system which are different from the normalized type are treated as the total disturbances. The disturbances were estimated by the second-order linear extended state observer and compensated in the control law. Then the system, with nonlinearities, uncertainties and disturbances, is reduced to only a linear integrator. In comparison with the traditional PI controller, simulation results show that both the proposed ADRCs have better robustness and adaptability against model uncertainties.
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