IEEE Transactions on Automatic Control

最新文章

• Recursive Filtering With Measurement Fading: A Multiple Description Coding Scheme AI翻译
  作者：Wang, Licheng; Wang, Zidong; Shen, Bo; Wei, Guoliang
  作者单位：University of Shanghai for Science & Technology; Brunel University; Donghua University; University of Shanghai for Science & Technology
  摘要：In this article, the recursive filtering problem is studied for a class of discrete-time nonlinear stochastic systems subject to fading measurements. In order to facilitate the data transmission in a resource-constrained communication network, the multiple description coding scheme is adopted to encode the fading measurements into two descriptions with the identical importance. Two independent Bernoulli distributed random variables are introduced to govern the occurrences of the packet dropout...
• Sensor Switching Control Under Attacks Detectable by Finite Sample Dynamic Watermarking Tests AI翻译
  作者：Hespanhol, Pedro; Porter, Matthew; Vasudevan, Ramanarayan; Aswani, Anil
  作者单位：University of California System; University of California Berkeley; University of Michigan System; University of Michigan
  摘要：Control system security is enhanced by the ability to detect malicious attacks on sensor measurements. Dynamic watermarking can detect such attacks on linear time-invariant systems. However, existing theory focuses on attack detection and not on the use of watermarking in conjunction with attack mitigation strategies. In this article, we study the problem of switching between two sets of sensors: One set of sensors has high accuracy but is vulnerable to attack, whereas the second set of sensor...
• Fault-Tolerant Funnel Control for Uncertain Linear Systems AI翻译
  作者：Berger, Thomas
  作者单位：University of Paderborn
  摘要：We study adaptive fault-tolerant tracking control for uncertain linear systems. Based on recent results in funnel control, and the time-varying Byrnes-Isidori form, we develop a low-complexity model-free controller that achieves prescribed performance of the tracking error for any given sufficiently smooth reference signal. Within the considered system class, we allow for more inputs than outputs as long as a certain redundancy of the actuators is satisfied. An important role in the controller...
• A Gauss-Newton-Like Hessian Approximation for Economic NMPC AI翻译
  作者：Zanon, Mario
  作者单位：IMT School for Advanced Studies Lucca
  摘要：Economic model predictive control (EMPC) has recently become popular because of its ability to control constrained nonlinear systems while explicitly optimizing a prescribed performance criterion. Large performance gains have been reported for many applications and closed-loop stability has been recently investigated. However, computational performance still remains an open issue and only few contributions have proposed real-time algorithms tailored to EMPC. We perform a step towards computati...
• Structural Balance via Gradient Flows Over Signed Graphs AI翻译
  作者：Cisneros-Velarde, Pedro Arturo; Friedkin, Noah E.; Proskurnikov, Anton, V; Bullo, Francesco
  作者单位：University of California System; University of California Santa Barbara; Polytechnic University of Turin; Russian Academy of Sciences
  摘要：Structural balance is a classic property of signed graphs satisfying Heider's seminal axioms. Mathematical sociologists have studied balance theory since its inception in the 1940s. Recent research has focused on the development of dynamic models explaining the emergence of structural balance. In this article, we introduce a novel class of parsimonious dynamic models for structural balance based on an interpersonal influence process. Our proposed models are gradient flows of an energy function...
• Ergodic Opinion Dynamics Over Networks: Learning Influences From Partial Observations AI翻译
  作者：Ravazzi, Chiara; Hojjatinia, Sarah; Lagoa, Constantino M.; Dabbene, Fabrizio
  作者单位：Consiglio Nazionale delle Ricerche (CNR); Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni (IEIIT-CNR); Polytechnic University of Turin; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：In this article, we address the problem of inferring direct influences in social networks from partial samples of a class of opinion dynamics. The interest is motivated by the study of several complex systems arising in social sciences, where a population of agents interacts according to a communication graph. These dynamics over networks often exhibit an oscillatory behavior, given the stochastic effects or the random nature of the local interactions process. Inspired by recent results on est...
• Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization AI翻译
  作者：Doan, Thinh T.; Maguluri, Siva Theja; Romberg, Justin
  作者单位：University System of Georgia; Georgia Institute of Technology; University System of Georgia; Georgia Institute of Technology; University System of Georgia; Georgia Institute of Technology
  摘要：We study distributed optimization problems over a network when the communication between the nodes is constrained, and therefore, information that is exchanged between the nodes must be quantized. Recent advances using the distributed gradient algorithm with a quantization scheme at a fixed resolution have established convergence, but at rates significantly slower than when the communications are unquantized. In this article, we introduce a novel quantization method, which we refer to as adapt...
• Tube-Based Model Predictive Control Using Multidimensional Taylor Network for Nonlinear Time-Delay Systems AI翻译
  作者：Yan, Hong-Sen; Duan, Zheng-Yi
  作者单位：Southeast University - China
  摘要：For nonlinear time-delay systems with uncertainties, the existing approaches to robust model predictive control (MPC) are based on the min-max optimization formulation. Unfortunately, these approaches are generally conservative for most practical problems. For this sake, this article proposes a tube-based MPC consisting of MPC and control contraction metric (CCM) controller. The MPC is utilized as a nominal controller to generate a reference trajectory, while the CCM controller is used as a lo...
• Robust Stability of Barrier-Based Model Predictive Control AI翻译
  作者：Petsagkourakis, Panagiotis; Heath, William P.; Carrasco, Joaquin; Theodoropoulos, Constantinos
  作者单位：University of Manchester; University of Manchester
  摘要：Conditions for robust input-output stability of barrier-based model predictive control of linear systems with linear and convex nonlinear (hard or soft) constraints are established through the construction of integral quadratic constraints (IQCs). The IQCs can be used to determine sufficient conditions for global closed-loop stability. In particular, conditions for robust stability can be obtained in the presence of unstructured model uncertainty. IQCs with both static and dynamic multipliers ...
• Iterative Online Optimal Feedback Control AI翻译
  作者：Chen, Yuqing; Braun, David J.
  作者单位：Singapore University of Technology & Design; Vanderbilt University
  摘要：This article proposes a data-driven iterative feedback control method to efficiently solve finite time horizon, nonlinear, input constrained optimal control problems. The proposed method introduces a novel approach to combine an inexact system model with measured state information to reduce the cost and provide near-optimal control by approximately solving the optimal control problem along the trajectory of the real system, as opposed to solving it along the trajectory predicted by the inexact...