Data quality assessment is mainly to analyze, evaluate and calculate the collected original information, and then to obtain the decision results. At present, there are many research methods for data quality. Through d...
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With the ongoing advancements in battlefield communication and multimedia transmission technologies, it has become feasible to transmit multimedia information from individual soldiers to back-end command centers. This...
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In joint operations, the large volume of battlefield data and the complexity of information can lead to cognitive overload for commanders, making it difficult to focus on key situational issues in real-time. This pape...
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This paper explores a mixed virtuality and reality joint adversarial training system, centering on weapon equipment performance simulation, battlefield environment reproduction and engagement data acquisition and proc...
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This paper investigates the spatial-temporal guidance problem for multiple unpowered High-speed Glid Vehicles (HGV). First, a 3D vector guidance law is given by extending the traditional 2D guidance law to 3D scenario...
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In this paper,we present a time-domain dynamic state estimation for unbalanced three-phase power *** dynamic nature of the estimator stems from an explicit consideration of the electromagnetic dynamics of the network,...
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In this paper,we present a time-domain dynamic state estimation for unbalanced three-phase power *** dynamic nature of the estimator stems from an explicit consideration of the electromagnetic dynamics of the network,i.e.,the dynamics of the electrical *** enables our approach to release the assumption of the network being in quasi-steady ***,based on the line dynamics,we derive a graphbased dynamic system *** handle the large number of interacting variables,we propose a port-Hamiltonian modeling *** on the port-Hamiltonian model,we then follow an observer-based approach to develop a dynamic *** estimator uses synchronized sampled value measurements to calculate asymptotic convergent estimates for the unknown bus voltages and *** design and implementation of the estimator are illustrated through the IEEE 33-bus *** simulations verify the estimator to produce asymptotic exact estimates,which are able to detect harmonic distortion and sub-second transients as arising from converterbased resources.
Continuous-time adaptive controllers for systems with a matched uncertainty often comprise an online parameter estimator and a corresponding parameterized controller to cancel the uncertainty. However, such methods ar...
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This paper develops a control strategy based on immersion and invariance(I&I) adaptive methodology for a class of multi-input multi-output(MIMO) systems in the presence of parametric uncertainty, input saturation,...
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This paper develops a control strategy based on immersion and invariance(I&I) adaptive methodology for a class of multi-input multi-output(MIMO) systems in the presence of parametric uncertainty, input saturation, and external disturbance. To avoid the analytic calculation in the backstepping process, a highgain auxiliary system is constructed to compensate for the effect of command filter error. The first-order command filters are also employed in the construction procedure of the I&I adaptive law to simplify its design and remove the structural conditions on the regressors. A filter-based disturbance observer is developed to counteract the effect of the external disturbance produced by a partially known exogenous *** overcome the input saturation nonlinearity, a smooth function is introduced to approximate the input saturation with an extended state and a bounding estimation law. Stringent analysis guarantees the stability of closed-loop system. Finally, simulated examples confirm the effectiveness of the suggested method.
The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems(*** systems).To this end,we start by putting forth a novel distributed event-triggering trans...
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The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems(*** systems).To this end,we start by putting forth a novel distributed event-triggering transmission strategy based on periodic sampling,under which a model-based stability criterion for the closed-loop network system is derived,by leveraging a discrete-time looped-functional *** the model-based criterion with a data-driven system representation recently developed in the literature,a purely data-driven stability criterion expressed in the form of linear matrix inequalities(LMIs)is ***,the data-driven stability criterion suggests a means for co-designing the event-triggering coefficient matrix and the feedback control gain matrix using only some offline collected state-input ***,numerical results corroborate the efficacy of the proposed distributed data-driven event-triggered network system(ETS)in cutting off data transmissions and the co-design procedure.
Accurate target recognition in complex backgrounds is the primary key step for aircraft to achieve sensitive perception and control. Traditional computer vision based object recognition technology is difficult to full...
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