In this paper, the problem of H∞filtering for networked singular systems with an event-triggered scheme is investigated. With a modified event generator, remote sensor evaluates the periodically sampled data and only...
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This work develops a new iterative algorithm, which is called stochastic truncated amplitude flow (STAF), to recover an unknown signal x ∈ R~n from m "phaseless" quadratic equations of the form ψ_i = |a_i~...
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This work develops a new iterative algorithm, which is called stochastic truncated amplitude flow (STAF), to recover an unknown signal x ∈ R~n from m "phaseless" quadratic equations of the form ψ_i = |a_i~T x|, 1 ≤ i ≤ m. This problem is also known as phase retrieval, which is NP-hard in general. Building on an amplitude-based nonconvex least-squares formulation, STAF proceeds in two stages: s1) Orthogonality-promoting initialization computed using a stochastic variance reduced gradient algorithm;and, s2) Refinements of the initial point through truncated stochastic gradient-type iterations. Both stages handle a single equation per iteration, therefore lending STAF well to Big Data applications. Specifically for independent Gaussian {a_i}_(i=1)~m vectors, STAF recovers exactly any x exponentially fast when there are about as many equations as unknowns. Finally, numerical tests demonstrate that STAF improves upon its competing alternatives.
In this work,an event-triggered high gain observer(ET-HGO) design is considered for a continuous-time nonlinear system combined with disturbance and *** the event-trigger scheme,the performance of the ET-HGO depends...
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ISBN:
(纸本)9781509009107
In this work,an event-triggered high gain observer(ET-HGO) design is considered for a continuous-time nonlinear system combined with disturbance and *** the event-trigger scheme,the performance of the ET-HGO depends on the triggering condition ***,in this work,for the high-gain observer considered,an event-triggered transmission strategy,which does not relies on the other system state but the output of the control system,is proposed such that the observation error is asymptotically ***,with mild restriction,the observation error is guaranteed to be bounded all the *** obtained theoretical results are evaluated through the numerical simulations.
In this paper, a model is constructed to investigate the mechanism induced quorum sensing (QS) by coexisting of small RNA and signal molecule. The QS network model regulated by small RNAs is studied. The condition of ...
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In this paper, a model is constructed to investigate the mechanism induced quorum sensing (QS) by coexisting of small RNA and signal molecule. The QS network model regulated by small RNAs is studied. The condition of the stability of the QS network is considered by using Routh-Hurwitz stability criterion. The conditions for the existence of Hopf bifurcation are obtained. Then, a linear feedback control is designed to make the system asymptotically stable. The numerical simulation is used to verify the results of theoretical analysis.
In this paper, the problem of robust sampled-data control for Itô stochastic Markovian jump systems (Itô SMJSs) with state delay is investigated. Using parameters-dependent Lyapunov functionals and some stoc...
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In this paper, the problem of robust sampled-data control for Itô stochastic Markovian jump systems (Itô SMJSs) with state delay is investigated. Using parameters-dependent Lyapunov functionals and some stochastic equations, we give stochastic sufficient stability criteria for polytopic uncertain Itô SMJSs. As a corollary, stochastic sufficient stability criteria are given for nominal Itô SMJSs. For this two cases of Itô SMJSs, based on the obtained stochastic stability criteria, their time-independent sampled-data controllers are designed, respectively. Then, for designing a time-dependent sampled-data controller for Itô SMJSs, a parameters-dependent time-scheduled Lyapunov functional is developed. New stochastic sufficient stability criteria are obtained for polytopic uncertain Itô SMJSs and nominal Itô SMJSs. Furthermore, their time-dependent sampled-data controllers are designed, respectively. Lastly, a numerical example is provided to illustrate the effectiveness of the proposed method.
In this paper, a simplified dynamic vehicle model is established to accurately describe the dynamics of Unmanned Ground Vehicle (UGV) in trajectory tracking, while meeting the real-Time computing requirement. And a mo...
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To ensure that people can supplement enough water at the right time, an initiative service method based on intention understanding for drinking service robot is proposed. Firstly, individual factors and environmental ...
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To ensure that people can supplement enough water at the right time, an initiative service method based on intention understanding for drinking service robot is proposed. Firstly, individual factors and environmental factors which are associated with personal intentions are collected. Secondly, users' intention and desire degree for intention are obtained by an improved Fuzzy-Context-specific Intention Inference method. Then the relationship between personal intention and human demands is established by an initiative service model. Finally, robots provide drinking water service initiatively according to humans' demands. Drinking service experiments are performed in a laboratory scenario using a humans-robots interaction system. The experimental results show that the drinking time of actual situation lags behind the initiative service time 25 minutes on average, and the initiative service renders drinking service 2 times more than actual situation on average, which demonstrates the feasibility of the proposal. In prospect, the initiative service method could be applied to many occasions in our daily life, e.g., family service, caring for the elderly, and medical rehabilitation.
This paper is concerned with the finite-horizon H quantized control problem for a class of discrete time-varying nonlinear networked controlsystems with earliest deadline first(EDF) *** schedule is employed in the ch...
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This paper is concerned with the finite-horizon H quantized control problem for a class of discrete time-varying nonlinear networked controlsystems with earliest deadline first(EDF) *** schedule is employed in the channels both from sensor to controller and controller to ***,the measurement output signal and control signal are quantized by a logarithmic quantizer before they enter the controller and system,*** main purpose of the problem addressed is to design a dynamical output-feedback controller such that the prespecified H performance of the system is guaranteed over a given finite *** this end,a sufficient condition is firstly established for the existence of the desired output-feedback ***,the controller parameters are characterized by solving a recursive linear matrix ***,a numerical example is given to illustrate the effectiveness of the proposed control approach.
A backstepping method based adaptive robust dead-zone compensation controller is pro- posed for the electro-hydraulic servo systems (EHSSs) with unknown dead-zone and uncertain system parameters. Variable load is se...
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A backstepping method based adaptive robust dead-zone compensation controller is pro- posed for the electro-hydraulic servo systems (EHSSs) with unknown dead-zone and uncertain system parameters. Variable load is seen as a sum of a constant and a variable part. The constant part is regarded as a parameter of the system to be estimated real time. The variable part together with the friction are seen as disturbance so that a robust term in the controller can be adopted to reject them. Compared with the traditional dead-zone compensation method, a dead-zone compensator is incor- porated in the EH$S without constructing a dead-zone inverse. Combining backstepping method, an adaptive robust controller (ARC) with dead-zone compensation is formed. An easy-to-use ARC tuning method is also proposed after a further analysis of the ARC structure. Simulations show that the proposed method has a splendid tracking performance, all the uncertain parameters can be estimated, and the disturbance has been rejected while the dead-zone term is well estimated and compensated.
A controller is proposed based on the equivalent input disturbance (EID) method to suppress the stick-slip vibration of the drilling process. The drillstring system is described by a neutral type model with unknown di...
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ISBN:
(纸本)9781509015740;9781509015733
A controller is proposed based on the equivalent input disturbance (EID) method to suppress the stick-slip vibration of the drilling process. The drillstring system is described by a neutral type model with unknown disturbances, where the unknown disturbances are mainly nonlinear bit-rock reaction. The core idea of this approach is to use EID to suppress a variety of external disturbances and the impact caused by the state delay of the neutral type model. The main advantage of our method is that the controller does not depend on the specific disturbance model, which is of great significance for the suppression control of stick-slip vibration in complex stratigraphic environment. Moreover, our method is applicable to more general neutral type systems. The simulation was carried out to eliminate stick-slip vibration quickly and verify the effectiveness of the proposed method.
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