9期

最新文章

• On the Stopping Criteria n Nonlinear Unknown Input Observability Condition AI翻译
  作者：Sarafrazi, Mohammad Amin; Kotta, Ulle; Bartosiewicz, Zbigniew
  作者单位：Tallinn University of Technology; Bialystok University of Technology
  摘要：Observability of nonlinear systems with unknown inputs was recently characterized in terms of dimension of an observability codistribution, obtained from Lie derivatives of outputs with respect to an infinite set of vector fields. However, the suggested stopping criterion does not apply to all systems, and the applicability condition is difficult to check. This article provides a new stopping criterion which holds universally and is easy to check. Moreover, we show that for systems with n stat...
• Stability of Time-Invariant Extremum Seeking Control for Limit Cycle Minimization AI翻译
  作者：Kumar, Saurav; Makarenkov, Oleg; Gregg, Robert D.; Gans, Nicholas
  作者单位：Carnegie Mellon University; University of Texas System; University of Texas Dallas; University of Michigan System; University of Michigan; University of Texas System; University of Texas Arlington
  摘要：This article presents a time-invariant extremum seeking controller (ESC) for nonlinear autonomous systems with limit cycles. For this time-invariant ESC, we propose a method to prove the closed-loop system has an asymptotically stable limit cycle. The method is based on a perturbation theorem for maps, and, unlike existing techniques that use averaging and singular perturbation tools, it is not limited to weakly nonlinear systems. We use a typical example system to show that our method does in...
• Adaptive Control of Time-Varying Parameter Systems With Asymptotic Tracking AI翻译
  作者：Patil, Omkar Sudhir; Sun, Runhan; Bhasin, Shubhendu; Dixon, Warren E.
  作者单位：State University System of Florida; University of Florida; Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Delhi
  摘要：A continuous adaptive controller is developed for nonlinear dynamical systems with linearly parameterizable uncertainty involving time-varying uncertain parameters. Through a unique stability analysis strategy, a new adaptive feedforward term is developed along with specialized feedback terms, to yield an asymptotic tracking error convergence result by compensating for the time-varying nature of the uncertain parameters. A Lyapunov-based stability analysis is shown for Euler-Lagrange systems, ...
• Tracking and Regulation Performance Limitations of Networked Control Systems Over Erasure Channel With Input Quantization AI翻译
  作者：Jiang, Xiaowei; Chi, Ming; Chen, Xiangyong; Yan, Huaicheng; Huang, Tingwen
  作者单位：China University of Geosciences; Huazhong University of Science & Technology; Shandong University; Linyi University; East China University of Science & Technology; Chengdu University; Qatar Foundation (QF); Texas A&M University Qatar
  摘要：Limitations in communication networks, such as delays, packet dropouts, and insufficient bandwidth, create great challenges in the output tracking control and regulation performance of networked control systems. In this article, we propose some novel performance indexes for achieving the optimal tracking and regulation performance. By considering the influences of noise, packet dropouts, and logarithmic quantization on the channel input, the performance limitations of the networked systems are...
• Coding for Secrecy in Remote State Estimation With an Adversary AI翻译
  作者：Luecke, Marvin; Lu, Jingyi; Quevedo, Daniel E.
  作者单位：Zuse Institute Berlin; East China University of Science & Technology; Queensland University of Technology (QUT)
  摘要：We study the problem of remote state estimation in the presence of an eavesdropper. A sensor transmits state information over a packet-dropping link to a legitimate user. This information is randomly overheard by an eavesdropper. To reduce information leakage to the eavesdropper, previous studies have shown that by encoding the estimate with the acknowledgments (Acks), perfect secrecy can be achieved. However, this strategy greatly relies on the accuracy of the Acks and may easily fail if the ...
• Nonlinear Hamiltonian Systems Under Sampling AI翻译
  作者：Monaco, Salvatore; Normand-Cyrot, Dorothee; Mattioni, Mattia; Moreschini, Alessio
  作者单位：Sapienza University Rome; Centre National de la Recherche Scientifique (CNRS); Universite Paris Saclay
  摘要：This article investigates the transformation of Hamiltonian structures under sampling. It is shown that the exact sampled equivalent model associated to a given port-Hamiltonian continuous-time dynamics exhibits a discrete-time representation in terms of the discrete gradient, with the same energy function but modified damping and interconnection matrices. By construction, the proposed sampled-data dynamics guarantees exact matching of both the state evolutions and the energy-balance at all sa...
• Nonparametric Testing for Hammerstein Systems AI翻译
  作者：Pawlak, Miroslaw; Lv, Jiaqing
  作者单位：University of Manitoba; AGH University of Krakow
  摘要：We examine the problem of testing a parametric form of the nonlinearity of Hammerstein systems against a nonparametric alternative. This article proposes test statistics relying on nonparametric orthogonal series regression function estimates. An asymptotic theory of the proposed tests is established including the asymptotic normality under the null hypothesis that the parametric form of the system nonlinearity is correct. Moreover, it is shown that under nonparametric alternatives, the probab...
• A Convex Approach to Data-Driven Optimal Control via Perron-Frobenius and Koopman Operators AI翻译
  作者：Huang, Bowen; Vaidya, Umesh
  作者单位：Clemson University
  摘要：This article is about the data-driven computation of optimal control for a class of control affine deterministic nonlinear systems. We assume that the control dynamical system model is not available, and the only information about the system dynamics is available in the form of time-series data. We provide a convex formulation for the optimal control problem (OCP) of the nonlinear system. The convex formulation relies on the duality result in the dynamical system's stability theory involving d...
• A Direct Parameter-Error Codesign Approach of Discrete-Time Saturated LPV Systems AI翻译
  作者：de Souza, Carla; Leite, Valter J. S.; Tarbouriech, Sophie; Castelan, Eugenio B.; Silva, Luis F. P.
  作者单位：Universidade Federal de Santa Catarina (UFSC); Universite de Toulouse; Centre National de la Recherche Scientifique (CNRS)
  摘要：Considering a discrete-time linear parameter-varying systems with input constraints, this article deals with the codesign of a parameter-dependent state-feedback controller and a new parameter-dependent event-triggering mechanism. Two independent event-triggering policies are introduced at the sensor node to economize the limited network resources. They indicate whether the current state or the current scheduling parameters should be transmitted to the controller or not. In this sense, the con...
• Secondary Frequency Control of Microgrids: An Online Reinforcement Learning Approach AI翻译
  作者：Adibi, Mahya; van der Woude, Jacob
  作者单位：Delft University of Technology
  摘要：In this article, we present a reinforcement learning-based scheme for secondary frequency control of lossy inverter-based microgrids. Compared with the existing methods in the literature, we relax the common restrictions on the system, i.e., being lossless, and the transmission lines and loads to have known constant impedances. The proposed secondary frequency control scheme does not require a priori information about system parameters and can achieve frequency synchronization within an ultima...