IEEE Transactions on Automatic Control

最新文章

• Quantized Feedback Control of Discrete-Time MIMO Linear Systems With Input and Output Quantization Over Finite Data Rate Channels AI翻译
  作者：Wang, Jian
  作者单位：Bohai University
  摘要：This article considers a control problem of discrete-time multiple-input multiple-output linear systems involving input quantization (for the output of the controller) and output quantization (for the output of the plant). Based on spherical polar coordinate quantizer, a quantization method with finite data rate is proposed for handling the nested quantization and achieving the convergence to the origin of the system with input and output quantization. Further, an optimalization problem is dev...
• Decentralized Design of Distributed Observers for LTI Systems AI翻译
  作者：Zhang, Xueji; Hengster-Movric, Kristian
  作者单位：Atlas Copco; Czech Technical University Prague
  摘要：This note proposes a novel decentralized/decomposed design of distributed observers for general continuous-time linear time invariant systems. Each observer can only observe a portion of the system. By transforming the system to a real Jordan canonical form, an observability decomposition is performed based on Popov-Belevitch-Hautus test. Each observer reconstructs observable states from its local measurements. The unobservable states are reconstructed relying on a communication network, by vi...
• Beyond Nash Solutions for Differential Graphical Games AI翻译
  作者：Lopez, Victor G.; Lewis, Frank L.; Liu, Mushuang; Wan, Yan
  作者单位：Leibniz University Hannover; University of Texas System; University of Texas Arlington; University of Texas System; University of Texas Arlington
  摘要：Differential graphical games model the interaction between networked dynamical agents that do not possess global state information available. In general, this lack of global information prevents the agents from playing their optimal Nash strategies. In this article, two different solution concepts for graphical games are proposed as practical alternatives when Nash equilibrium is not attainable among the players. The proposed solutions consider the case on which the players make optimistic ass...
• The Cucker-Smale Model With Nonlinear Velocity Couplings and Power-Law Attractive Potentials AI翻译
  作者：Yin, Xiuxia; Yue, Dong; Han, Qing-Long
  作者单位：Nanchang University; Nanjing University of Posts & Telecommunications; Swinburne University of Technology
  摘要：When the communication weight has a short range, the distance between agents could tend to infinity for some initial conditions, which leads to the nonexistence of well-studied flocking behavior in the Cucker-Smale model with (or without) nonlinear velocity couplings. To control the distance, it is natural to consider this model with pairwise attractive potentials. Therefore, this note investigates the Cucker-Smale model with nonlinear velocity couplings and attractive potentials. When the att...
• Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence AI翻译
  作者：Liu, Changxin; Zhou, Zirui; Pei, Jian; Zhang, Yong; Shi, Yang
  作者单位：University of Victoria; Huawei Technologies; Simon Fraser University
  摘要：Decentralized optimization, particularly the class of decentralized composite convex optimization (DCCO) problems, has found many applications. Due to ubiquitous communication congestion and random dropouts in practice, it is highly desirable to design decentralized algorithms that can handle stochastic communication networks. However, most existing algorithms for DCCO only work in networks that are deterministically connected during bounded communication rounds, and therefore, cannot be exten...
• Gradient-Tracking-Based Distributed Optimization With Guaranteed Optimality Under Noisy Information Sharing AI翻译
  作者：Wang, Yongqiang; Basar, Tamer
  作者单位：Clemson University; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：Distributed optimization enables networked agents to cooperatively solve a global optimization problem. Despite making significant inroads, most existing results on distributed optimization rely on noise-free information sharing among the agents, which is problematic when communication channels are noisy, messages are coarsely quantized, or shared information are obscured by additive noise for the purpose of achieving differential privacy. The problem of information-sharing noise is particular...
• Constrained Receding Horizon Output Estimation of Linear Distributed Parameter Systems AI翻译
  作者：Xie, Junyao; Humaloja, Jukka-Pekka; Koch, Charles Robert; Dubljevic, Stevan
  作者单位：University of Alberta; University of Alberta
  摘要：In this article, we address the constrained output estimation of discrete-time linear distributed parameter systems in the presence of plant and measurement disturbances. Sufficient conditions are proposed for the strong stability of the proposed moving horizon estimator. We further show that the discrete-time estimation results can be linked to continuous-time infinite-dimensional systems described by partial differential equations with unbounded disturbance and output operators by using the ...
• H8/LTR-Based Synthesis of Multivariable 2-Rate Dynamic Output Feedback Control With Some Applications AI翻译
  作者：Bhattacharya, Sragdhara; Ghosh, Arun; Das, Sarit K.
  作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kharagpur
  摘要：Aiming to provide better compensation to discrete time (or, sampled-data), multivariable, linear time-invariant (LTI) plants that have nonminimum phase zeros, this article proposes a 2-rate, 2-degree-of-freedom, dynamic output feedback controller. Employing the lifting technique that may convert a 2-periodic system to a time-invariant form, it is shown that, under certain conditions, the equivalent LTI plant becomes a minimum-phase one. Consequently, an H8/loop-transfer-recovery-based LTI appr...
• Learning Causal Estimates of Linear Operators From Noisy Data AI翻译
  作者：Cacace, Filippo; Germani, Alfredo
  作者单位：University Campus Bio-Medico - Rome Italy; University of L'Aquila
  摘要：This article studies the identification problem of linear systems from a set of noisy input-output trajectories. The problem is formulated and solved as a least-square regularized estimate on a suitable function space of finite-bandwidth operators. This abstract setting is well suited to represent a broad class of finite- and infinite-dimensional linear systems. We determine the value of the regularization parameter as a function of the amount of noise on the learning trajectories and we show ...
• Linear Encryption Against Eavesdropping on Remote State Estimation AI翻译
  作者：Shang, Jun; Chen, Tongwen
  作者单位：University of Alberta
  摘要：This article considers the problem of eavesdropping on remote state estimation. Linear encryption strategies are used to protect the transmitted data. Two types of data transmission are considered: raw measurements generated by traditional sensors as well as innovations generated by smart sensors. For these two transmission scenarios, the encryption coefficients are obtained by formulating different optimization problems, with the target of maximizing the eavesdropper's estimation error covari...