In this paper, new Lyapunov-based reset rules are constructed to improve C2 gain performance of linear-time-invariant (LTI) systems. By using the hybrid system framework, sufficient conditions for exponential and fini...
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Recently with the development of high-speed railways, the traditional train communication network (TCN) can barely meet the increasing demand of realtime and high data rate transmission requirements. In this study, a ...
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This paper introduces a design of stepper motor driver with FPGA chip XC3S250 E as systemcontrol core,which uses A3972 stepper motor driver chip and communicates with computer by USB *** paper analyses the design of ...
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This paper introduces a design of stepper motor driver with FPGA chip XC3S250 E as systemcontrol core,which uses A3972 stepper motor driver chip and communicates with computer by USB *** paper analyses the design of hardware circuit and programming and simulation for A3972 module and the UART module with Verilog *** stepper motor driver has characteristics of high integration and flexible communications with computer.
In this paper, a new adaptive controller for a quadrotor unmanned aerial vehicle(UAV) is presented via Immersion and Invariance(I&I) approach. The quadrotor's dynamic model is subjected to some uncertain param...
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ISBN:
(纸本)9781479947249
In this paper, a new adaptive controller for a quadrotor unmanned aerial vehicle(UAV) is presented via Immersion and Invariance(I&I) approach. The quadrotor's dynamic model is subjected to some uncertain parameters such as the inertial moments, aerodynamic damping coefficients and so on. In particular, the mass-eccentric effects by the payloads are also *** all these uncertainties above, the proposed adaptive controller is still capable of driving the quadrotor UAV's attitude asymptotically to a desired trajectory. The stability analysis is performed by Lyapunov techniques and LaSalle's invariance theorem. Numerical simulation results illustrate the good tracking performance of the proposed scheme.
We present an opinion formation model in which individuals are supposed to seek a consensus on the truth. All agents are boundedly confident in the sense that an agent communicates with another one if their opinion di...
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We present an opinion formation model in which individuals are supposed to seek a consensus on the truth. All agents are boundedly confident in the sense that an agent communicates with another one if their opinion difference is not greater than a threshold which is called the bound of confidence. When facing the truth, they are also boundedly confident such that they take the truth into account if the truth is inside their bound of confidence. Any agent influenced by the truth is viewed as a leader, and thus, the role of leader is endogenous with the evolution of opinions. For any pair of bound of confidence and position of truth, we provide a possible range of the strength of the attraction of truth that can guarantee the whole group converging to the truth. We also find that there always exists a suitable strength of the attraction of truth leading the whole group to a consensus on the truth as long as the whole group converge to a consensus in the absence of the attraction of truth.
The field effect transistor is widely used due to its many advantages,but its working performance is directly affected by its drive *** paper gives a detailed description of the design requirements for the drive circu...
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The field effect transistor is widely used due to its many advantages,but its working performance is directly affected by its drive *** paper gives a detailed description of the design requirements for the drive circuit of the MOSFET transistor,and explains the working principle of three different MOSFET drive circuits,and also studies and compares the working characteristic of drive *** puts forward the advantages and disadvantages of various drive circuits and usage occasions which provides the basis guidance for the design of the drive circuit of the MOS transistor.
As one of key technologies in photovoltaic converter control, Maximum Power Point Tracking (MPPT) methods can keep the power conversion efficiency as high as nearly 99% under the uniform solar irradiance condition. Ho...
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Based on the analysis of relative orbit dynamics for GEO (geostationary orbit, GEO) satellite and LQG (Linear Quadratic Gaussian, LQG) algorithm, this paper proposed a station-keeping control method for GEO satellite,...
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Based on the analysis of relative orbit dynamics for GEO (geostationary orbit, GEO) satellite and LQG (Linear Quadratic Gaussian, LQG) algorithm, this paper proposed a station-keeping control method for GEO satellite, which realized north-south station-keeping and west-east station-keeping simultaneously. To further verify the effectiveness of the proposed method, corresponding mathematical simulation is carried out. Simulation results show that the proposed method can obtain good control precision compared with conventional station-keeping control method of GEO satellite. Thus, the proposed method is suitable for station-keeping control of GEO satellite.
The state-space model for linear network systems which represents the structure information, in general, cannot be recovered from the dynamical input-output data, since typically the realization problem does not have ...
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ISBN:
(纸本)9781479947249
The state-space model for linear network systems which represents the structure information, in general, cannot be recovered from the dynamical input-output data, since typically the realization problem does not have a unique *** structure functions have been introduced to represent the structural information only between the *** though, it has shown that for a given network composed of p measured individuals, in order to completely recover the relationships between the measurements, p experiments with each experiment independently controlling a measured individual must be performed. This paper will investigate the structure reconstruction for a kind of linear networks, in which all states are measurable, but only partial states can be directly controlled by external inputs. Therefore, the network structure cannot be inferred directly by making use of the dynamical structure function. A new algorithm is proposed, in which the relations between the nodes with input are obtained from the dynamical structure function;and then, the influences from the nodes with control input to the nodes without are deduced;and finally, a convex optimization algorithm with a sparsity assumption is used to infer the full structure information.
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