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作者:Fan, Yuzhen; Zhang, Xiaoyu; Gao, Chuanhou; Dochain, Denis
作者单位:Zhejiang University; Southeast University - China; Universite Catholique Louvain
摘要:Rapid advancements of artificial neural networks for computer sciences, inspired by biological neuron interaction mechanisms, may be leveraged in reverse to synthetic biology by providing advanced molecular programming paradigms capable of autonomously learning and executing complex tasks. A challenging exploration is to implement neural network functionalities through biochemical reaction networks (BCRNs), a language that is inherently compatible with in vivo, with difficulties especially in ...
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作者:Khajenejad, Mohammad; Brown, Scott; Martinez, Sonia
作者单位:University of Tulsa; University of California System; University of California San Diego
摘要:This article introduces a novel recursive distributed estimation algorithm aimed at synthesizing input and state interval observers for nonlinear bounded-error discrete-time multiagent systems. The considered systems have sensors and actuators that are susceptible to unknown or adversarial inputs. To solve this problem, we first identify conditions that allow agents to obtain nonlinear bounded-error equations characterizing the input. Then, we propose a distributed interval-valued observer tha...
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作者:Liu, Tianhao; Chai, Runqi; Chen, Kaiyuan; Carrasco, Joaquin; Lennox, Barry
作者单位:Beijing Institute of Technology; Cranfield University; Tsinghua University; University of Manchester
摘要:This article studies a mobile robot trajectory optimization problem where the control path constraints are affected by stochastic parameters and the obstacle information is limited. Based on online measured data, an upper confidence bound (UCB) is designed such that the estimated obstacle regions are guaranteed to cover the real obstacles with a predefined probability, thus avoiding collisions. Using the proposed approach, the control path constraints are transformed into deterministic constra...
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作者:Wang, Jiamin; Liu, Jian; Xiao, Feng; Zheng, Yuanshi
作者单位:Xidian University; North China Electric Power University
摘要:It has been reported that local memory information could enhance certain consensus performance of multiagent networks, such as protecting privacy and accelerating consensus. This article aims to investigate whether memory information can improve the robustness and scalability of consensus networks. The robustness is measured by the & ell;(2) gains from disturbances to consensus errors, and the scalability means that consensus can be preserved without retuning control parameters as the network ...
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作者:Faruqi, Abdul Hannan; Chatterjee, Anindya
作者单位:Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kanpur
摘要:Linear time-invariant single-input single-output (SISO) systems which satisfy a parity interlacing property (PIP) can be stabilized with a stable controller in a single feedback loop. We consider such stabilization of plants with rational transfer functions of relative degree 0, 1, or 2. Finding such controllers requires an interpolant U(s) with specific properties. Existing methods for finding U(s) use an iterative manual calculation or, when the plant's right half plane zeros are simple, a m...
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作者:Zhang, Qi; Wang, Lin; Wang, Xiaofan; Chen, Guanrong
作者单位:Shanghai Jiao Tong University; Shanghai University; Shanghai Institute of Technology; City University of Hong Kong
摘要:Differing from existing research on intervention strategies such as leader selection and edge addition, we investigate the impact of intervention timing in opinion dynamics. We employ the leader-based DeGroot model to formulate the evolution of opinions in social networks, wherein leaders represent organizations or parties that influence public opinion. We propose an optimal timing selection problem, in which a leader maximizes public opinion at a specific time by strategically selecting inter...
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作者:Gao, Shanshan; Zhang, Shenggui; Chen, Xinzhuang
作者单位:Shanghai University of Electric Power; Northwestern Polytechnical University; Northwestern Polytechnical University; Northwestern Polytechnical University; Yanan University
摘要:For a multiagent system with a directed graph as its interaction topology, the consensus convergence rate is determined by the algebraic connectivity (the smallest real part of nonzero Laplacian eigenvalues) of its underlying network. In this article, the effects of adding weighted edges to a weighted directed path on the algebraic connectivity are investigated. First, it is proved that the Laplacian eigenvalues are only affected by local subgraphs containing the additional edges if some weigh...
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作者:Corbin, Nicholas A.; Kramer, Boris
作者单位:University of California System; University of California San Diego
摘要:We present a scalable approach to computing nonlinear balancing energy functions for control-affine systems with polynomial nonlinearities. Al'brekht's power-series method is used to solve the Hamilton-Jacobi-Bellman equations for polynomial approximations to the energy functions. The contribution of this article lies in the numerical implementation of the method based on the Kronecker product, enabling scalability to over 1000 state dimensions. The tensor structure and symmetries arising from...
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作者:Meiners, Florian; Himmel, Andreas; Adamy, Jurgen
作者单位:Technical University of Darmstadt; Technical University of Darmstadt
摘要:Controllability and observability properties of control systems manifest on the tangent bundle and its dual, the cotangent bundle, respectively. Linear systems admit the exploitation of this duality via the formulation of an explicit dual system, which is controllable iff the original system is observable and vice versa. While in the context of linear systems the duality is understood well and facilitates the conversion of controller and observer design schemes, there are a number of interesti...
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作者:Yang, Nachuan; Tang, Jiawei; Li, Yuzhe; Shi, Guodong; Shi, Ling
作者单位:Hong Kong University of Science & Technology; Northeastern University - China; University of Sydney
摘要:This article studies the design of linear quadratic regulators (LQR) subject to structural constraints, which remains an NP-hard open problem. Both state-feedback and static output-feedback cases are investigated. Instead of using case-by-case relaxation techniques, we propose a tractable first-order method to solve this structural optimal control problem. More specifically, we equivalently reformulate it as a constrained optimization and characterize its first-order optimality condition via K...