This paper studies the stability analysis and control design problems for a class of nonlinear coupled complex systems with sensor nonlinearities via a mixed control *** nonlinear coupled complex systems are modelled ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper studies the stability analysis and control design problems for a class of nonlinear coupled complex systems with sensor nonlinearities via a mixed control *** nonlinear coupled complex systems are modelled as a nonlinear finite-dimensional ordinary differential equation coupled with an infinite-dimensional viscid burgers' *** to the existence of both time and space dimensional nonlinearities and based on the Lyapunov stability theory,a mixed control approach is proposed to produce a fuzzy-model-based controller tackling the time dimensional nonlinearity and a boundary controller eliminating the space dimensional nonlinearity,such that the addressed coupled complex systems achieve asymptotic *** conditions are obtained via the convex *** from the existing results on control of coupled PDE-ODE systems,a mixed control approach is firstly developed by combining the boundary control approach and the fuzzymodel-based control ***,the proposed mixed control approach is applied to a nonlinear hypersonic rocket car to testify its validity.
The main objective of this paper is to develop a distributed sensor fault detection (FD) approach for sensor networks in the presence of noise and transmission time of information exchange. To be specific, the approac...
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Traffic accidents often result in quick bottlenecks and increase injudicious lane changes near incidents (or lane blockage), worsening collision risks, congestion, and fuel consumption. As a practical solution, this p...
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Traffic accidents often result in quick bottlenecks and increase injudicious lane changes near incidents (or lane blockage), worsening collision risks, congestion, and fuel consumption. As a practical solution, this paper proposes a novel cooperative look-ahead lane change (Co-LLC) system for automated vehicles (AVs) to mitigate sudden accident-induced traffic effects by improving driving intelligence and safety in critical scenarios. The proposed Co-LLC system comprises the state prediction model, safety and impact evaluation unit, and decision system. Firstly, we analyze the immediate impacts of traffic accidents and identify that a lack of anticipation causes a lane change hot spot near the incident. Consequently, most attempts to change lanes early are unsuccessful due to uncooperative behavior from vehicles in the destination lane. Secondly, we design anticipatory and cooperative lane change systems for AVs to decide the need and feasibility of a lane change in advance. Thus, the proposed system enables AVs to change lanes smoothly and cooperate with other vehicles during lane changes. Finally, we investigate the impact of different penetration rates of AVs using the proposed system on overall traffic performance. The performance of our proposed system is compared to the traditional driving system, and the results show that our proposed system improves the lane-changing behavior of AVs, assists traditional vehicles in changing their lanes smoothly, and mitigates sudden accident-induced traffic impacts. Moreover, the proposed system improves the overall traffic performance with increased penetration rates. Our proposed system is computationally efficient and suitable for real-time driving in critical traffic scenarios. IEEE
This literature survey explores the domain of remote driving of road vehicles within autonomous vehicles, focusing on challenges and state-of-the-art solutions related to driving feedback, latency, support control, as...
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This literature survey explores the domain of remote driving of road vehicles within autonomous vehicles, focusing on challenges and state-of-the-art solutions related to driving feedback, latency, support control, as well as remote driving platform and real applications. The advancement towards Level-5 autonomy faces challenges, including sensor reliability and diverse scenario feasibility. Currently, remote driving is identified as vital for commercialization, however, it comes with challenges like low situational awareness, latency, and a lack of comprehensive feedback mechanisms. Solutions proposed include enhancing visual feedback, developing haptic feedback, employing prediction techniques, and use control methods to support driver. This paper reviews the existing literature on remote driving in these fields, revealing research gaps and areas for future studies. Additionally, this paper reviews the industry applications of remote driving and shows the state-of-art use cases. IEEE
Threshold selection for thresholding segmentation methods is a critical issue in vision-based detection of surface mount devices (SMDs). The thresholds in actual industrial equipments rely on manual adjustment in SMDs...
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This paper investigates the robust bounded-H8 stabilization for a class of high-order fully actuated systems (FASs) with time-varying uncertainty and disturbance. Based on the FAS approaches and the H8 control, a robu...
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In this paper,we investigate the distributed estimation problem of continuous-time stochastic dynamic systems over sensor networks when both the system order and parameters are *** propose a local information criterio...
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In this paper,we investigate the distributed estimation problem of continuous-time stochastic dynamic systems over sensor networks when both the system order and parameters are *** propose a local information criterion(LIC)based on the L_(0)penalty *** minimizing LIC at the diffusion time instant and utilizing the continuous-time diffusion least squares algorithm,we obtain a distributed estimation algorithm to simultaneously estimate the unknown order and the parameters of the *** dealing with the effect of the system noises and the coupling relationship between estimation of system orders and parameters,we establish the almost sure convergence results of the proposed distributed estimation ***,we give a simulation example to verify the effectiveness of the distributed algorithm in estimating the system order and parameters.
The expediency of using multi-functional laboratory stands in the process of training specialists in the electromechanical profession is substantiated. The paper contains characteristics of the small-scale model of th...
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In this paper,we propose a game theory framework to solve advanced persistent threat problems,especially considering two types of insider threats:malicious and *** this framework,we establish a unified three-player ga...
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In this paper,we propose a game theory framework to solve advanced persistent threat problems,especially considering two types of insider threats:malicious and *** this framework,we establish a unified three-player game model and derive Nash equilibria in response to different types of insider *** analyzing these Nash equilibria,we provide quantitative solutions to advanced persistent threat problems pertaining to insider ***,we have conducted a comparative assessment of the optimal defense strategy and corresponding defender's costs between two types of insider ***,our findings advocate a more proactive defense strategy against inadvertent insider threats in contrast to malicious ones,despite the latter imposing a higher burden on the *** theoretical results are substantiated by numerical results,which additionally include a detailed exploration of the conditions under which different insiders adopt risky *** conditions can serve as guiding indicators for the defender when calibrating their monitoring intensities and devising defensive strategies.
A simple matrix description method is proposed, which define the formation relationship between the UAV swarm leaders and wingmen, and establishes formation database matrix sets of different formations. On the basis o...
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