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8th International Conference on control Science and systems engineering, ICCSSE 2022

作者： Hu, Zhibin Hu, Jun Du, Junhua Zhao, Yuna Harbin University of Science and Technology Department of Mathematics Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin China School of Automation Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781665484138

In this paper, the distributed state and fault fusion filtering problem is discussed for a class of multi-sensor networked systems (MSNSs) with randomly occurring quantized measurements (ROQMs). A series of random variables obeying the Bernoulli distribution are adopted to depict the phenomenon of the ROQMs and the fault signal is assumed to appear with an unknown constant type. The aim of this paper is to provide the state and fault fusion filtering algorithm by using the inverse covariance intersection fusion method. Moreover, a proper filter gain is designed by minimizing the local upper bound of filtering error covariance. Finally, the effectiveness of the presented fusion method is verified by using an illustrative example. © 2022 IEEE.

关键词： Inverse problems

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An Adaptive Event-triggered Nonlinear Filtering for Power systems Subject to Hybrid Measurements and Multiple Cyber-Attacks 8

An Adaptive Event-triggered Nonlinear Filtering for Power Sy...

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8th International Conference on control Science and systems engineering, ICCSSE 2022

作者： Huang, Jinpeng Hu, Jun Li, Jiaxing Cao, Zhipeng Harbin University of Science and Technology Department of Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China

ISBN: (纸本)9781665484138

In this paper, an adaptive event-triggered filtering problem is discussed for power systems subject to multiple cyberattacks and hybrid measurements. A model describing the multiple cyber-attacks is constructed, which includes the denial of service attack and replay attack. In order to decrease the data transmission frequency, according to the practical requirements, an adaptive event-triggered strategy is adopted to schedule the node transmission. To be specific, the upper bound of the estimation error covariance is firstly obtained by solving the difference equations and employing the time-stamp method. Next, the desired estimator gain matrix is designed by minimizing the corresponding upper bound. Finally, an illustrative example is used to demonstrate the effectiveness of the proposed estimation algorithm. © 2022 IEEE.

关键词： Denial-of-service attack

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Distributed Resilient State Estimation for Time-Varying Fractional-Order Discrete Complex Networks with Encoding-Decoding Scheme 42

Distributed Resilient State Estimation for Time-Varying Frac...

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42nd Chinese control Conference, CCC 2023

作者： Chen, Yu Hu, Jun Li, Jiaxing Zhou, Aozhan Yu, Hui Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9789887581543

In this paper, the distributed state estimation method with resilient attenuation feature is proposed for time-varying fractional-order complex networks under encoding-decoding mechanism. The encoding-decoding-induced dynamic errors for distinct nodes are characterized by the truncated Gaussian distributions. In order to compensate the effects induced by encoding-decoding scheme, the variances of encoding-decoding-induced dynamic errors are considered in process of designing the resilient distributed estimation algorithm. In particular, the upper bounds of updated estimation error covariances are derived firstly. Subsequently, the upper bounds are minimized by constructing the gain matrices at each sampling instant. Besides, a sufficient condition is provided to guarantee the boundedness of estimation error dynamics in the mean-square sense. Finally, the validity of distributed resilient state estimation scheme is demonstrated by a simulation example. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Complex networks

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Recursive Filtering for Time-Varying Nonlinear Delayed systems with Stochastic Parameter Matrices and Censored Measurements 42

Recursive Filtering for Time-Varying Nonlinear Delayed Syste...

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42nd Chinese control Conference, CCC 2023

作者： Yang, Shuo Hu, Jun Gao, Peixia Dong, Ruijie Wu, Zhihui Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9789887581543

This paper discusses the design problem of recursive filtering method for time-varying nonlinear delayed systems (NDSs) with stochastic parameter matrices (SPMs) and censored measurements. In particular, the Tobit Type I model provides a description of the censored measurements. The main objective of this paper is to construct a recursive filter for NDSs with both SPMs and censored measurements. The upper bound of the filtering error covariance is first calculated via mathematical induction, and the upper bound is then minimized by choosing proper filter gain. Besides, a sufficient condition is provided to guarantee that the filtering error is uniformly bounded in the mean-square sense. Finally, the viability and applicability of the proposed filtering method are demonstrated using a numerical simulation. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Stochastic systems

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Outlier-Resistant Distributed Filtering for Multi-Rate Nonlinear systems Under Amplify-and-Forward Relays 42

Outlier-Resistant Distributed Filtering for Multi-Rate Nonli...

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42nd Chinese control Conference, CCC 2023

作者： Fan, Shuting Hu, Jun Jia, Chaoqing Zhao, Hairui Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9789887581543

In this paper, the outlier-resistant distributed filtering problem based on amplify-and-forward relays is studied for discrete time-varying nonlinear multi-rate systems with multiple measurement delays over sensor networks, where the augmenting method is utilized to transform the multi-rate system into a single rate system. An amplify-and-forward (AF) relay is set between the sensor and the filter to extend the transmission distance of the signal and ensure the communication transmission quality. The outlier-resistant distributed filter is constructed by introducing a saturation function to limit the innovations, then the upper bound on the filtering error covariance is obtained and the filter gain is designed to minimize such obtained upper bound. Finally, a numerical example is used to show the effectiveness of the outlier-resistant distributed filtering algorithm based on AF relays. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Nonlinear systems

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Three-dimensional Nonlinear Path-following Guidance with Bounded Input Constraints

arXiv

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arXiv 2024年

作者： Kumar, Saurabh Kumar, Shashi Ranjan Sinha, Abhinav The Intelligent Systems & Control Lab Department of Aerospace Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India Lab Department of Aerospace Engineering and Engineering Mechanics University of Cincinnati CincinnatiOH45221 United States

In this paper, we consider the tracking of arbitrary curvilinear geometric paths in three-dimensional output spaces of unmanned aerial vehicles (UAVs) without pre-specified timing requirements, commonly referred to as path-following problems, subjected to bounded inputs. Specifically, we propose a novel nonlinear path-following guidance law for a UAV that enables it to follow any smooth curvilinear path in three dimensions while accounting for the bounded control authority in the design. The proposed solution offers a general treatment of the path-following problem by removing the dependency on the path’s geometry, which makes it applicable to paths with varying levels of complexity and smooth curvatures. Additionally, the proposed strategy draws inspiration from the pursuit guidance approach, which is known for its simplicity and ease of implementation. Theoretical analysis guarantees that the UAV converges to its desired path within a fixed time and remains on it irrespective of its initial configuration with respect to the path. Finally, the simulations demonstrate the merits and effectiveness of the proposed guidance strategy through a wide range of engagement scenarios, showcasing the UAV’s ability to follow diverse curvilinear paths accurately. © 2024, CC BY-NC-ND.

关键词： Unmanned aerial vehicles (UAV)

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Distributed solver for linear matrix inequalities: an optimization perspective

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control Theory and Technology 2021年第4期19卷 507-515页

作者： Weijian Li Wen Deng Xianlin Zeng Yiguang Hong Department of Automation University of Science and Technology of ChinaHefei 230027AnhuiChina Key Lab of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Control Science and Engineering Tongji UniversityShanghai 201804China

In this paper,we develop a distributed solver for a group of strict(non-strict)linear matrix inequalities over a multi-agent network,where each agent only knows one inequality,and all agents co-operate to reach a consensus solution in the intersection of all the feasible *** formulation is transformed into a distributed optimization problem by introducing slack variables and consensus ***,by the primal–dual methods,a distributed algorithm is proposed with the help of projection operators and derivative ***,the convergence of the algorithm is analyzed,followed by illustrative simulations.

关键词： Distributed computation Distributed optimization Linear matrix inequalities Primal-dual method

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Cooperative Nonlinear Guidance Strategies for Guaranteed Pursuit-Evasion

arXiv

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arXiv 2024年

作者： Kumar, Saurabh Kumar, Shashi Ranjan Sinha, Abhinav Intelligent Systems and Control Lab Department of Aerospace Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India GALACxIS Lab Department of Aerospace Engineering and Engineering Mechanics University of Cincinnati OH45221 United States

This paper addresses the pursuit-evasion problem involving three agents– a purser, an evader, and a defender. We develop cooperative guidance laws for the evader-defender team that guarantee that the defender intercepts the pursuer before it reaches the vicinity of the evader. Unlike heuristic methods, optimal control, differential game formulation, and recently proposed time-constrained guidance techniques, we propose a geometric solution to safeguard the evader from the pursuer’s incoming threat. The proposed strategy is computationally efficient and expected to be scalab.e as the number of agents increases. Another alluring feature of the proposed strategy is that the evader-defender team does not require the knowledge of the pursuer’s strategy and that the pursuer’s interception is guaranteed from arbitrary initial engagement geometries. We further show that the necessary error variables for the evader-defender team vanish within a time that can be exactly prescribed prior to the three-body engagement. Finally, we demonstrate the efficacy of the proposed cooperative defense strategy via simulation in diverse engagement scenarios. © 2024, CC BY-NC-ND.

关键词： Heuristic methods

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Trajectory Tracking for Unmanned Aerial Vehicles in 3D Spaces under Motion Constraints

arXiv

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arXiv 2024年

This article presents a three-dimensional nonlinear trajectory tracking control strategy for unmanned aerial vehicles (UAVs) in the presence of spatial constraints. As opposed to many existing control strategies, which do not consider spatial constraints, the proposed strategy considers spatial constraints on each degree of freedom movement of the UAV. Such consideration makes the design appealing for many practical applications, such as pipeline inspection, boundary tracking, etc. The proposed design accounts for the limited information about the inertia matrix, thereby affirming its inherent robustness against unmodeled dynamics and other imperfections. We rigorously show that the UAV will converge to its desired path by maintaining bounded position, orientation, and linear and angular speeds. Finally, we demonstrate the effectiveness of the proposed strategy through various numerical simulations. © 2024, CC BY-NC-ND.

关键词： Degrees of freedom (mechanics)

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Network Small Gain Theorem

Network Small Gain Theorem

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European control Conference (ECC)

作者： Swati Singh Shashi Ranjan Kumar Dwaipayan Mukherjee Debasattam Pal Department of Aerospace Engineering Intelligent Systems and Control Lab Indian Institute of Technology Bombay Powai Mumbai India Department of Electrical Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

The network stabilization problem in a heterogeneous multi-agent system with diffusive connections is investigated in this paper. It is demonstrated that, under the assumption that the agents are finite-gain $\mathcal{L}_{2}$ -stable and zero state observable, the interconnection is zero input asymptotically stable, and all agents' dynamics converge to the origin. The stability analysis is based on small-gain theory. We provide the maximum bound on the $\mathcal{L}_{2}$ -gain of the controller using various optimization methods when the $\mathcal{L}_{2}$ -gain of each agent is known. A study on the variation of $\mathcal{L}_{2}$ -gain bound of the controller with the Laplacian eigenvalues of the underlying graph is provided. Numerical examples, which support and illustrate the analytical results, are also included.

关键词： Couplings Upper bound Laplace equations Simulation Optimization methods Europe Stability analysis

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