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作者：Li, Yalu; Li, Haitao; Xiao, Gaoxi
作者单位：Shandong Normal University; Nanyang Technological University
摘要：State estimation is important for the synthesis of nonlinear systems with stochastic disturbances. This work devotes to tackling the optimal state estimation problem of logical control networks (LCNs) with stochastic disturbances. First, based on the algebraic form of LCNs with stochastic disturbances, an effective approach is proposed to design the Luenberger-like observer. Second, by resorting to the Luenberger-like observer, a new criterion is presented to obtain the optimal state estimator...
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作者：Mi, Wen; Zhang, Liming; Zheng, Wei Xing; Zhang, Sheng
作者单位：University of Electronic Science & Technology of China; University of Macau; Western Sydney University; Southwest Jiaotong University
摘要：In this article, we propose a new identification method for continuous-time Hammerstein systems. This method is based on the adaptive generalized rational orthonormal basis functions. In particular, we use the strategy in which poles of basis functions are selected one by one in terms of a criterion. By doing this, we not only take advantage of the variability of the generalized orthogonal basis functions, but also reduce the computational burden. The proposed algorithm is adaptive. Meanwhile,...
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作者：Schiller, Julian D.; Muntwiler, Simon; Koehler, Johannes; Zeilinger, Melanie N.; Mueller, Matthias A.
作者单位：Leibniz University Hannover; Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：We provide a novel robust stability analysis for moving horizon estimation (MHE) using a Lyapunov function. In addition, we introduce linear matrix inequalities (LMIs) to verify the necessary incremental input/output-to-state stability (delta-IOSS) detectability condition. We consider an MHE formulation with time-discounted quadratic objective for nonlinear systems admitting an exponential delta-IOSS Lyapunov function. We show that with a suitable parameterization of the MHE objective, the del...
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作者：Shi, Lei; Liu, Qingchen; Shao, Jinliang; Cheng, Yuhua; Zheng, Wei Xing
作者单位：University of Electronic Science & Technology of China; Shenzhen Institute of Artificial Intelligence & Robotics for Society; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Western Sydney University
摘要：Signed networks are widely applied to describe cooperative and competitive interaction relationships arising from various social, biological, and physical systems. In this article, a cooperation-competition evolutionary dynamic model is offered to explain the gradual evolution of the interaction relationship between neighboring nodes in signed networks. The core feature of our model is to portray the interaction relationship between neighboring nodes as a nonlinear function of the state differ...
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作者：Song, Jiawei; Zuo, Zongyu; Basin, Michael
作者单位：Beihang University; Universidad Autonoma de Nuevo Leon
摘要：To reduce the chattering and overestimation phenomena existing in classical adaptive sliding mode control, this article presents a new class K(infinity )function-based adaptive sliding mode control scheme. Two controllers are proposed in terms of concave and convex nonlinear functions to implement this kind of control structure. To avoid large initial control magnitudes, two modified control schemes are provided, which extend the proposed methodology to different scenarios. It is proven that t...
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作者：Wang, Dong; An, Shuang; Lian, Jie
作者单位：Dalian University of Technology
摘要：This article addresses the transfer restricted switching problem for discrete-time switched positive linear systems with all unstable subsystems. To characterize the complex interaction between state components under subsystem switching, the switching digraph and state component digraph are conjoined and a novel switching walk approach is proposed to achieve the exponential stability of switched positive systems. By further deducing the relationship between the obtained decay rate of switched ...
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作者：Benallegue, Mehdi; Benallegue, Abdelaziz; Cisneros, Rafael; Chitour, Yacine
作者单位：National Institute of Advanced Industrial Science & Technology (AIST); Universite Paris Saclay; Universite Paris Saclay
摘要：This article addresses the problem of estimating the tilt and more generally the attitude of a rigid body that is subject to high accelerations and equipped with inertial measurement units (IMU) and a sensor providing the body velocity (expressed in the reference frame attached to the body). In the absence of a magnetometer, tilt estimation is proposed through a two-step observer: a global-exponentially stable pre-estimation given to a manifold-constrained complementary filter. In the presence...
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作者：Ilka, Adrian; Murgovski, Nikolce
作者单位：Slovak University of Technology Bratislava; Chalmers University of Technology
摘要：This article provides novel developments in output-feedback stabilization for linear time-invariant systems within the linear quadratic regulator (LQR) framework. First, we derive the necessary and sufficient conditions for output-feedback stabilizability in connection with the LQR framework. Then, we propose a novel iterative Newton's method for output-feedback LQR design and a computationally efficient modified approach that requires solving only a Lyapunov equation at each iteration step. W...
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作者：Yi, Xinlei; Zhang, Shengjun; Yang, Tao; Chai, Tianyou; Johansson, Karl Henrik
作者单位：Royal Institute of Technology; Northeastern University - China
摘要：In this article, we consider distributed non-convex optimization with the cost functions being distributed over agents. Noting that information compression is a key tool to reduce the heavy communication load for distributed algorithms as agents iteratively communicate with neighbors, we propose three distributed primal-dual algorithms with compressed communication. The first two algorithms are applicable to a general class of compressors with bounded relative compression error and the third a...
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作者：Breschi, Valentina; Sassella, Andrea; Formentin, Simone
作者单位：Polytechnic University of Milan
摘要：On the wave of recent advances in data-driven predictive control, we present an explicit controller that can be constructed from a batch of input/output data only. The proposed explicit law is built upon a regularized data-driven control problem, so as to guarantee the uniqueness of the explicit predictive controller and to endow it with noise handling capabilities. The effectiveness of the retrieved explicit law and the repercussions of regularization on noise handling is analyzed on a benchm...
