Article
Automation & Control Systems
Wassim M. Haddad, Makram Chahine
Summary: This article introduces a thermodynamically based framework for addressing consensus problems in dynamic agent networks, utilizing a hybrid control protocol architecture and dynamic communication topology. The proposed hybrid controller architecture involves intermittent state information exchange between agents, ensuring that the closed-loop dynamic network is semi-stable to an equipartitioned equilibrium representing a state of information consensus.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
Summary: Inspired by integral feedback, this study proposes a distributed constant gain algorithm for multiagent networks to solve convex optimization problems with local linear constraints. Utilizing an undirected graph model for agent interactions, the algorithm achieves the optimum solution with an exponential convergence rate. The algorithm inherits beneficial requirements on communication bandwidth and robustness against disturbance from integral feedback. Analytical proof and numerical simulations validate the effectiveness of the proposed algorithm in solving constrained optimization problems.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Wassim M. Haddad, Junsoo Lee, Sanjay P. Bhat
Summary: This article focuses on the analysis and synthesis of semistability and finite-time semistability for discrete-time dynamical systems with a continuum of equilibria. It develops a rigorous framework for discrete semistability and discrete finite-time semistability by building on the theories of semistability and finite-time semistability for continuous-time dynamical systems. The framework is then used to design semistable and finite-time semistable consensus protocols for achieving multiagent coordination tasks in discrete dynamical networks.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Yingxue Du, Yijing Wang, Zhiqiang Zuo, Wentao Zhang
Summary: This paper addresses the stochastic bipartite consensus problem of discrete-time multi-agent systems under additive/multiplicative noise over antagonistic networks. A stochastic approximation time-varying gain is applied for noise attenuation. Semi-decomposition method combined with Martingale convergence theorem ensures bipartite consensus under additive noise, while Lyapunov-based technique guarantees boundedness of agents' states with multiplicative noise. Constant stochastic approximation control gain is found to be unsuitable for bipartite consensus with multiplicative noise. The convergence rate of stochastic MASs with communication noise and antagonistic exchange is explicitly characterized.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Automation & Control Systems
Xiaoxuan Wang, Shaofu Yang, Zhenyuan Guo, Quanbo Ge, Shiping Wen, Tingwen Huang
Summary: This article presents a solution to the k-winner-take-all (kWTA) problem with large-scale inputs in a distributed setting. A multiagent system is proposed, where each agent has a 1-D system and interacts with others through binary consensus protocols. The system convergence is proven using differential inclusion theory, and a novel comparison filter is introduced to eliminate the resolution ratio requirement on the input signal.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Manufacturing
Yu-Chen Qian, Zhong-Hua Miao, Jin Zhou, Xiao-Jin Zhu
Summary: This study resolves the design problems of agricultural multi-robots' controlled algorithm by discussing an adaptive leader-following consensus protocol for nonlinear multiagent systems. The proposed methodology is less conservative and applicable to a wider variety of nonlinear multi-agent systems, making it suitable for more agricultural fields.
ADVANCES IN MANUFACTURING
(2023)
Article
Automation & Control Systems
Bilal J. Karaki, Magdi S. Mahmoud
Summary: This paper focuses on leader-following and leaderless consensus problems in discrete-time multiagent systems. It proposes a distributed observer-based consensus protocol and a modified distributed event-triggered consensus protocol to reduce communication congestion. By utilizing graph and control theory approach, sufficient conditions are obtained, and detailed analysis of leaderless and leader-following consensus is presented for both observer-based and full-information protocols. Two simulation examples are provided to demonstrate the effectiveness of the established theories.
IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION
(2021)
Article
Computer Science, Artificial Intelligence
Zhongguo Li, Bo Liu, Zhengtao Ding
Summary: This article proposes a distributed algorithm for training neural networks with private data sets, utilizing constant learning rates to enhance tracking ability and establishing convergence by exploring error dynamics of connected agents. Simulation results validate the effectiveness of the algorithm.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Wencheng Zou, Xiao Wen, Jian Guo, Zhengrong Xiang
Summary: This paper investigates the finite-time consensus for second-order multiagent systems under directed networks. Two novel protocols are developed using the reference trajectory-based method for the leader-follower and leaderless cases, respectively. By these protocols, the relative state errors among agents can converge to the origin within a finite time, even in the presence of unknown parameters and unbounded nonlinear terms in agents' dynamics.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Chao Huang, Brian D. O. Anderson, Hao Zhang, Huaicheng Yan
Summary: For a group of networked agents, f-consensus means reaching a consensus on the value of a desired function, f, based on the initial state of the individual agents. This paper demonstrates how f-consensus problems can often be converted into distributed convex optimization (DCO) problems, which can be easily solved using existing DCO algorithms. This approach offers computational advantages and can solve specific classes of f-consensus problems, including weighted power mean consensus and kth smallest value or kth order statistic consensus.
Article
Automation & Control Systems
Alessandro Pilloni, Mauro Franceschelli, Alessandro Pisano, Elio Usai
Summary: This article proposes a design approach based on integral sliding mode control to enhance the robustness of multiagent systems in executing distributed optimization and consensus protocols. The approach aims to reject disturbances and uncertainties while maintaining the same emerging behavior as a reference multiagent system designed for a specific coordination objective.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Rajeev Shobhit Voleti, Diganta Bhattacharjee, Kamesh Subbarao
Summary: We propose three time-to-go consensus protocols for achieving same-time position consensus of multiple agents or vehicles to a destination. By using control generated from the three protocols, namely max-time, min-time, and achievable-time protocols, we prove the occurrence of same-time position consensus. We also establish sufficient conditions on the graph communication network topology and propose a tokenized algorithm to achieve same-time consensus in systems with arbitrary connected graph communication topologies.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Li Sheng, Wuxiang Huai, Yichun Niu, Ming Gao
Summary: This article introduces a consensus-based unscented Kalman filtering algorithm for addressing the distributed filtering problem in sensor networks. By incorporating different communication protocols to avoid data collisions, the algorithm can effectively estimate system states with exponential boundedness of the estimation error in mean square.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Computer Science, Information Systems
Xiaotian Wang, Housheng Su
Summary: This paper studies the discrete-time multiagent consensus problem and proposes a dual switching control strategy called echo control. By utilizing information transmission and reflection among agents, the echo control strategy achieves state consensus in the system.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Liya Li, Peng Shi, Choon Ki Ahn
Summary: This article addresses the challenges in target tracking by introducing a distributed iterative finite impulse response consensus filter, which estimates the target state through a distributed measurement model and efficient iterative algorithm. The results show that this method can achieve consensus among all followers' estimates of the leader.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Theory & Methods
Sanjay P. Bhat, Naveena Crasta
DISCRETE & COMPUTATIONAL GEOMETRY
(2015)
Article
Automation & Control Systems
Vijaysekhar Chellaboina, Sanjay P. Bhat, Wassim M. Haddad, Dennis S. Bernstein
IEEE CONTROL SYSTEMS MAGAZINE
(2009)
Article
Automation & Control Systems
Sanjay P. Bhat, Aneesh Venkatraman
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2009)
Article
Automation & Control Systems
Sanjay P. Bhat, Pawan K. Tiwari
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2009)
Article
Automation & Control Systems
Qing Hui, Wassim M. Haddad, Sanjay P. Bhat
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2009)
Article
Automation & Control Systems
Qing Hui, Wassim M. Haddad, Sanjay P. Bhat
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2010)
Article
Automation & Control Systems
Sanjay P. Bhat, Dennis S. Bernstein
MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS
(2010)
Article
Mathematics, Applied
Emmanuel Moulay, Sanjay P. Bhat
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
(2010)
Article
Automation & Control Systems
Sanjay P. Bhat, Aditya A. Paranjape
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
(2014)
Article
Automation & Control Systems
Qing Hui, Wassim M. Haddad, Sanjay P. Bhat
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2010)
Correction
Engineering, Aerospace
Sanjay P. Bhat, Naveena Crasta
JOURNAL OF THE ASTRONAUTICAL SCIENCES
(2019)
Article
Automation & Control Systems
Wassim M. Haddad, Junsoo Lee, Sanjay P. Bhat
Summary: This article focuses on the analysis and synthesis of semistability and finite-time semistability for discrete-time dynamical systems with a continuum of equilibria. It develops a rigorous framework for discrete semistability and discrete finite-time semistability by building on the theories of semistability and finite-time semistability for continuous-time dynamical systems. The framework is then used to design semistable and finite-time semistable consensus protocols for achieving multiagent coordination tasks in discrete dynamical networks.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Narendhar Gugulothu, Easwar Subramanian, Sanjay P. Bhat
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: DEEP LEARNING, PT II
(2019)
Article
Engineering, Aerospace
Sanjay P. Bhat, Naveena Crasta
JOURNAL OF THE ASTRONAUTICAL SCIENCES
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Vijaysekhar Chellaboina, Anil Bhatia, Sanjay P. Bhat
PROCEEDINGS OF THE 2013 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING & ECONOMICS (CIFER)
(2013)