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作者:Ligeikis, Connor H.; Scruggs, Jeffrey T.
作者单位:University of Michigan System; University of Michigan
摘要:A control system is called self-powered if the only energy it requires for operation is that which it absorbs from the plant. For a linear feedback law to be feasible for a self-powered control system, its feedback signal must be colocated with the control inputs, and its input-output mapping must satisfy an associated passivity constraint. The imposition of such a feedback law can be viewed equivalently as the imposition of a linear passive shunt admittance at the actuation ports of the plant...
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作者:Song, Teng; Liu, Bin
作者单位:Wuhan University of Technology; Huazhong University of Science & Technology
摘要:This article deals with the discrete-time stochastic optimal control problems with recursive utilities under weakened convexity assumption. A new stochastic maximum principle is established. Moreover, by constructing two new adjoint equations and two new variational equations for the backward stochastic difference equation, we obtain the second-order necessary optimality condition of quasi-singular control. Finally, as an illustration, a discrete-time mean-variance portfolio selection mixed wi...
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作者:Zhao, Cheng; Zhang, Yanbin
作者单位:Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS
摘要:In this article, we focus on the global stabilizability problem for a class of uncertain stochastic control systems, where both the drift term and the diffusion term are nonlinear functions of the state variables and the control variables. We will show that the widely applied proportional-derivative (PD) control in engineering practice has the ability to globally stabilize such systems in the mean square sense, provided that the upper bounds of partial derivatives of the nonlinear functions sa...
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作者:Wu, Jenq-Lang
作者单位:National Taiwan Ocean University
摘要:In this article, the control synthesis of discrete-time nonlinear control systems with state and input constraints is considered. Functional inequalities are used to express these restrictions. Based on the barrier method, an online nonconvex optimization problem is solved to obtain a feasible control signal at each time step. The convergence of the solution algorithm is demonstrated. Results for a special case in which the constraints are in quadratic forms are presented. The necessary condit...
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作者:Gan, Die; Xie, Siyu; Liu, Zhixin; Lu, Jinhu
作者单位:Zhongguancun Laboratory; University of Electronic Science & Technology of China; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Beihang University
摘要:In this article, we consider the distributed filtering problem over sensor networks such that all sensors cooperatively track unknown time-varying parameters by using local information. A distributed forgetting factor least squares algorithm is proposed by minimizing a local cost function formulated as a linear combination of accumulative estimation error. Stability analysis of the algorithm is provided under a cooperative excitation condition which contains spatial union information to reflec...
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作者:Isaly, Axton; Ghanbarpour, Masoumeh; Sanfelice, Ricardo G.; Dixon, Warren E.
作者单位:University of Colorado System; University of Colorado Boulder; University of California System; University of California Santa Cruz; State University System of Florida; University of Florida
摘要:Control barrier functions (CBFs) are a popular method for encoding safety specifications for dynamical systems. In this article, a notion of CBF is defined that permits vector-valued barrier functions and flow constraints involving both the state and the control input. CBFs induce constraints on the control input that, when satisfied, guarantee the forward invariance of a safe set of states. The constraints are enforced using a pointwise-optimal feedback controller. Sufficient conditions for t...
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作者:Wang, Bohui; Su, Rong; Huang, Lingying; Lu, Yun; Zhao, Nanbin
作者单位:Xi'an Jiaotong University; Nanyang Technological University
摘要:In this article, we propose a dynamic platoon management and cooperative driving framework for a mixed traffic flow consisting of multiple connected automated vehicles (CAVs) and possible human-driven vehicles (HDVs) that can be regarded as the surrounding vehicles (SVs). Specifically, the proposed framework consists of three stages. At the first stage, the cruising information of all the SVs will be collected by the leader CAV through the cellular-vehicle-to-X (C-V2X) infrastructure, while an...
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作者:Xu, Tianshu; Niu, Yugang; Cao, Zhiru
作者单位:East China University of Science & Technology; Shanghai University
摘要:This work focuses on the event-triggered sliding mode control problem for Markovian jump systems under the stochastic sampling that randomly switches between two sampling periods. A stochastic variable is introduced to characterize the delay between the present instant and the previous sampling instant, through which a switchinglike event-triggered strategy is proposed via the present sampled state and the previous transmitted state. Meanwhile, a mode-dependent sliding surface is constructed a...
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作者:Jongeneel, Wouter; Schwan, Roland
作者单位:Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
摘要:Suppose that the origin is globally asymptotically stable under a set of continuous vector fields on Euclidean space and suppose that all those vector fields come equipped with-possibly different-convex Lyapunov functions. We show that this implies there is a homotopy between any two of those vector fields, such that the origin remains globally asymptotically stable along the homotopy. Relaxing the assumption on the origin to any compact convex set or relaxing convexity to geodesic convexity d...
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作者:Liu, Fengjiao; Tsiotras, Panagiotis
作者单位:University System of Georgia; Georgia Institute of Technology
摘要:In this article, we study the finite-horizon optimal covariance steering problem for a continuous-time linear stochastic system subject to both additive and multiplicative noise. The noise can be continuous or it may contain jumps. The additive noise does not depend on the state or the control, whereas the multiplicative noise has a magnitude proportional to the current state. The cost is assumed to be quadratic in both the state and the control. The optimal control for steering the covariance...