The aerostat power system was designed, it's simulation experiment was conducted, and it's data were analyzed according to the operating characteristics of the aerostat in this paper. The influence of the envi...
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ISBN:
(纸本)9781467355339
The aerostat power system was designed, it's simulation experiment was conducted, and it's data were analyzed according to the operating characteristics of the aerostat in this paper. The influence of the environmental conditions and different loads on the power supply system was also analyzed because the requirements in all aspects in the aerostats power supply system are very rigorous in the fields of aerospace. A detail researches and analysis on key technologies of the floating power supply system were carried out considering the relationship between illumination conditions and peak power. Then, a design of aerostats' power supply system was brought up based on the energy balance principle. At last, the feasibility of the design systems was verified and some key issues were analyzed in detail through the analysis to low-altitude simulation test data.
A multi-loop constrained model predictive control scheme based on autoregressive exogenous-partial least squares(ARX-PLS) framework is proposed to tackle the high dimension, coupled and constraints problems in industr...
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A multi-loop constrained model predictive control scheme based on autoregressive exogenous-partial least squares(ARX-PLS) framework is proposed to tackle the high dimension, coupled and constraints problems in industry processes due to safety limitation, environmental regulations, consumer specifications and physical restriction. ARX-PLS decoupling character enables to turn the multivariable model predictive control(MPC) controller design in original space into the multi-loop single input single output(SISO) MPC controllers design in latent *** idea of iterative method is applied to decouple the constraints latent variables in PLS framework and recursive least square is introduced to identify ARX-PLS model. This algorithm is applied to a non-square simulation system and a stirred reactor for ethylene polymerizations comparing with adaptive internal model control(IMC) method based on ARX-PLS framework. Its application has shown that this method outperforms adaptive IMC method based on ARX-PLS framework to some extent.
Based on Lyapunov stability theorem, a MRAC system was researched to solve that differential value of plant output is unknown. Meanwhile an improved design for MRAC system aimed on the factor of restricting convergenc...
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Recent progress in Kalman filters to estimate states and parameters in nonlinear systems has provided the possibility of applying such approaches to neural systems. We here apply the nonlinear method of unscented Kalm...
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Recent progress in Kalman filters to estimate states and parameters in nonlinear systems has provided the possibility of applying such approaches to neural systems. We here apply the nonlinear method of unscented Kalman filters (UKFs) to observe states and estimate parameters in a neural mass model that can simulate distinct rhythms in electroencephalography (EEG) including dynamical evolution during epilepsy seizures. We demonstrate the efficiency of the UKF in estimating states and parameters. We also develop an UKF-based control strategy to modulate the dynamics of the neural mass model. In this strategy the UKF plays the role of observing states, and the control law is constructed via the estimated states. We demonstrate the feasibility of using such a strategy to suppress epileptiform spikes in the neural mass model.
It is well known that a biped robot needs actuators to walk stably on level *** now,a biped robot with torso has needed at least two actuators to achieve *** it be possible for this kind of robot to walk on level grou...
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It is well known that a biped robot needs actuators to walk stably on level *** now,a biped robot with torso has needed at least two actuators to achieve *** it be possible for this kind of robot to walk on level ground with only one actuator?This paper responds in the afrmative and proposes a simple control strategy for a planar biped robot with *** this control method,there is only one low gain proportional-derivative(PD)controller between the torso and the stance leg,while the swing leg remains totally *** PD controller utilizes states of both the torso(angle and angular velocity)and the stance *** numerical simulations show that,by adopting this controller,a planar biped robot with torso can walk stably on level ground,and that the robot can walk with a wide range of speeds and high energy efciency by changing the control *** period-one gaits,one of which is stable while the other three are unstable,are found by *** to the literature surveyed,we are the first to have a torso only driven biped robot walk stably on level ground.
This paper provides an adaptive event-triggered method using adaptive dynamic programming (ADP) for the nonlinear continuous-time system. Comparing to the traditional method with fixed sampling period, the event-trigg...
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This paper provides an adaptive event-triggered method using adaptive dynamic programming (ADP) for the nonlinear continuous-time system. Comparing to the traditional method with fixed sampling period, the event-triggered method samples the state only when an event is triggered and therefore the computational cost is reduced. We demonstrate the theoretical analysis on the stability of the event-triggered method, and integrate it with the ADP approach. The system dynamics are assumed unknown. The corresponding ADP algorithm is given and the neural network techniques are applied to implement this method. The simulation results verify the theoretical analysis and justify the efficiency of the proposed event-triggered technique using the ADP approach.
The problems of delay-dependent robust stability and stabilization for continuously singular timedelay systems with norm-bounded uncertainties are investigated in this paper. Based on a Lyapunov functional, which incl...
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In Opportunistic Mobile Networks (OppNets), data is opportunistically exchanged between nodes who encounter each other. In order to enable such data exchanges, nodes in the network have to probe their environment cont...
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The chaotic system plays an important role in electronic and electrical equipment, computer cryptography, computer communication and so on. In this paper, we established three new six-dimensional complex chaotic syste...
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The chaotic system plays an important role in electronic and electrical equipment, computer cryptography, computer communication and so on. In this paper, we established three new six-dimensional complex chaotic systems and one new ten-dimensional complex chaotic system. The regularity to generate high-dimensional chaotic system is also found by overlaying a series of low-dimensional chaotic systems with Duffing chaotic system. The circiuts of the new high-dimensional complex chaotic system are designed. The simulation experiments of the high-dimensional complex chaotic circuits are tested. The results of theoretical analysis and experiment show that new high-dimensional complex chaotic systems and their circiuts have the hyperchaotic characteristics.2013 Universitas Ahmad Dahlan.
The chaotic system plays an important role in information communication, electrical equipment, computer cryptography and so on. In this paper, four new high-dimensional complex hyperchaotic systems are found. A new ov...
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