IEEE Transactions on Automatic Control

最新文章

• A Dual Averaging Algorithm for Online Modeling of Infinite Memory Nonlinear Systems AI翻译
  作者：Lagosz, Szymon; Wachel, Pawel; Sliwinski, Przemyslaw
  作者单位：Wroclaw University of Science & Technology
  摘要：An online modeling algorithm is derived from a generic stochastic dual averaging (DA) method. It employs a negative entropy as a distance-generating function and the Volterra series expansion as a dictionary. Assuming that the measurement data are not i.i.d. but generated by a nonlinear dynamical system with an infinite, exponentially fading memory, the error bounds are established for both the generic DA method and for the proposed modeling algorithm. The experiments performed on a set of ben...
• Distributed Robust Optimization for Networked Agent Systems With Unknown Nonlinearities AI翻译
  作者：Wen, Guanghui; Zheng, Wei Xing; Wan, Ying
  作者单位：Southeast University - China; Western Sydney University; Southeast University - China
  摘要：The distributed robust optimization problem is investigated in this article for a class of networked agent systems under stochastically switching communication graphs. Unlike most existing results on distributed optimization of networked agent systems, the dynamics of each agent in the present model are allowed to be subjected to matched linearly parameterized unknown nonlinearities while the underlying communication graph is stochastically switching among some matrix-weighted communication gr...
• Adaptive Prescribed Finite Time Control for Strict-Feedback Systems AI翻译
  作者：Zuo, Gewei; Wang, Yujuan
  作者单位：Chongqing University; Chongqing University
  摘要：In this article, we address the prescribed finite time control problem for a class of strict-feedback systems with unknown parameters. A backstepping-based adaptive prescribed-time control algorithm is proposed for second-order strict-feedback systems, where the global stability of the system is ensured, and a dynamic surface control (DSC)-based adaptive prescribed-time algorithm is designed for the system in high-order case. For the DSC-based method, a novel first-order filter is constructed ...
• A Minimum Principle for Affine-Convex Control Problems With Nonregular Mixed Constraints AI翻译
  作者：Becerril, Jorge A. A.; Cortez, Karla L. L.; de Pinho, Maria do Rosario
  作者单位：Tecnologico de Monterrey; Universidad Autonoma Metropolitana - Mexico; Universidade do Porto
  摘要：In this article, we establish a minimum principle, including a Weierstrass condition, for an affine-convex optimal control problem with mixed constraints without any regularity assumptions on the latter, but requiring only a full-rank condition on the functions defining the equality constraints.
• Structural Estimation of Partially Observable Markov Decision Processes AI翻译
  作者：Chang, Yanling; Garcia, Alfredo; Wang, Zhide; Sun, Lu
  作者单位：Texas A&M University System; Texas A&M University College Station; Texas A&M University System; Texas A&M University College Station
  摘要：Partially observable Markov decision processes (POMDPs) is a well-developed framework for sequential decision-making under uncertainty and partial information. This article considers the (inverse) structural estimation of the primitives of a POMDP based upon data in the form of sequences of observables and implemented actions. We analyze the structural properties of an entropy regularized POMDP and specify conditions under which the model is identifiable without knowledge of the state dynamics...
• Adaptive Output Feedback Control of Nonlinear Systems: A Dynamic-Gain Scaling Approach AI翻译
  作者：Jia, Xianglei; Xu, Shengyuan; Zhou, Shaosheng
  作者单位：Hangzhou Dianzi University; Nanjing University of Science & Technology
  摘要：In this technical note, the problem of global asymptotical state regulation is considered for a class of nonlinear systems with unknown measurement sensitivity and polynomial growth constraint. A new dynamic output feedback controller with dual nonidentification adaptive gains is proposed by means of a novel constructive solution of a pair of matrix inequalities including an unknown time-varying parameter. It mainly reduces the conservatism of the existing results from two aspects: 1) the unkn...
• Secure Your Intention: On Notions of Pre-Opacity in Discrete-Event Systems AI翻译
  作者：Yang, Shuo; Yin, Xiang
  作者单位：University of Pennsylvania; Shanghai Jiao Tong University
  摘要：This article investigates an important information-flow security property called opacity in partially-observed discrete-event systems. We consider the presence of a passive intruder (eavesdropper) that knows the dynamic model of the system and can use the generated information flow to infer some secret of the system. A system is said to be opaque if it always holds the plausible deniability for its secret. Existing notions of opacity only consider secret either as currently visiting some secre...
• Decentralized Model Reference Adaptive Control for Systems With Time Delays and Dead Zones AI翻译
  作者：Zhang, Zhengqiang; Yang, Chen; Chen, Xinkai
  作者单位：Qufu Normal University; Shibaura Institute of Technology
  摘要：The decentralized robust model reference adaptive control (MRAC) problem is studied for a class of large-scale systems with unknown plant parameters, unknown time-varying delayed interconnections, and unknown dead-zone inputs. Two robust adaptive control schemes are proposed for the cases of symmetric dead-zone input and asymmetric dead-zone input under the assumption of moderate time-delay nonlinearity and the matching conditions of the plant model and the reference model matrix, respectively...
• Computationally Efficient Robust Model Predictive Control for Uncertain System Using Causal State-Feedback Parameterization AI翻译
  作者：Georgiou, Anastasis; Tahir, Furqan; Jaimoukha, Imad M.; Evangelou, Simos A.
  作者单位：Imperial College London
  摘要：This article investigates the problem of robust model predictive control (RMPC) of linear-time-invariant discrete-time systems subject to structured uncertainty and bounded disturbances. Typically, the constrained RMPC problem with state-feedback parameterizations is nonlinear (and nonconvex) with a prohibitively high computational burden for online implementation. To remedy this, a novel approach is proposed to linearize the state-feedback RMPC problem, with minimal conservatism, through the ...
• Solid Boundary Output Feedback Control of the Stefan Problem: The Enthalpy Approach AI翻译
  作者：Petrus, Bryan; Chen, Zhelin; El-Kebir, Hamza; Bentsman, Joseph; Thomas, Brian G.
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Colorado School of Mines
  摘要：By taking enthalpy-an internal energy of a diffusion-type system-as the system state and expressing it in terms of the temperature profile and the phase-change interface position, the output feedback boundary control laws for a fundamentally nonlinear single-phase one-dimensional (1-D) PDE process model with moving boundaries, referred to as the Stefan problem, are developed. The control objective is tracking of the spatiotemporal temperature and temporal interface (solidification front) traje...