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作者:Hu, Jiang; Zhang, Jiaojiao; Deng, Kangkang
作者单位:University of California System; University of California Berkeley; Royal Institute of Technology; National University of Defense Technology - China
摘要:Decentralized optimization often relies on achieving consensus among disparate agents. This article addresses the consensus problem in decentralized networks, focusing on the challenges posed by a nonconvex compact submanifold constraint. We identify conditions on network topology that facilitate local linear convergence to global consensus, where the achieved linear rate matches that of the Euclidean setting. Central to our analysis are the convex-like properties, specifically proximal smooth...
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作者:Zhang, Peihan; Rathnayake, Bhathiya; Diagne, Mamadou; Krstic, Miroslav
作者单位:University of California System; University of California San Diego; University of California System; University of California San Diego
摘要:For stabilizing stop-and-go oscillations in traffic flow by actuating a variable speed limit (VSL) at a downstream boundary of a freeway segment, we introduce event-triggered partial differential equation (PDE) backstepping designs employing the recent concept of performance-barrier event-triggered control (P-ETC). Our design is for linearized hyperbolic Aw-Rascle-Zhang (ARZ) PDEs governing traffic velocity and density. Compared to continuous feedback, ETC provides a piecewise-constant VSL com...
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作者:Li, Wuquan; Krstic, Miroslav
作者单位:Ludong University; University of California System; University of California San Diego
摘要:For linearly parametrized nonlinear systems in normal form, we first develop a new prescribed-time (PT) least-squares identification scheme (abbreviated PT-LS) characterized by a blow-up function, and then design a new PT adaptive controller which ensures that the plant state is regulated to zero in the prescribed time and the parameter estimate converges to a vector-valued constant in the same PT. Under a moderate interval excitation (IE) condition where the IE is fulfilled at the time strict...
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作者:Liu, Tao; Huang, Jie
作者单位:Southern University of Science & Technology; Chinese University of Hong Kong
摘要:Recently, the notion of uniform observability with respect to a subspace was proposed in (Xia et al., 2022) and was utilized to solve the synchronization problem for single-integrator multiagent systems with time-varying matrix-weighted couplings. This article further explores the concept of uniform observability of a linear time-varying system with respect to a subspace. We will first establish the invariance property of uniform observability with respect to some invariant subspace under time...
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作者:Heinlein, Moritz; Subramanian, Sankaranarayanan; Lucia, Sergio
作者单位:Dortmund University of Technology; Dortmund University of Technology
摘要:Robust model predictive control (MPC) algorithms are essential for addressing unavoidable errors due to the uncertainty in predicting real-world systems. However, the formulation of such algorithms typically results in a tradeoff between conservatism and computational complexity. Monotone systems facilitate the efficient computation of reachable sets and thus the straightforward formulation of a robust MPC approach optimizing over open-loop predictions. We present an approach based on the divi...
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作者:Zhu, Lijun; Chen, Zhiyong
作者单位:Huazhong University of Science & Technology; University of Newcastle
摘要:In this article, we propose an improved event-triggered control law based on the Lyapunov function method for a class of nonlinear systems by integrating a monotonically decreasing dynamics with a reset mechanism at each sampling instance. It is rigorously guaranteed that the sampling interval can be increased compared to a recently designed Lyapunov-function-based event-triggered control law when adopted at each step, while the advantages compared with other existing event-triggered control l...
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作者:Aolaritei, Liviu; Lanzetti, Nicolas; Chen, Hongruyu; Dorfler, Florian
作者单位:Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要:This article addresses the limitations of standard uncertainty models, i.e., robust (norm-bounded) and stochastic (one fixed distribution, e.g., Gaussian), and proposes to model uncertainty via optimal transport (OT) ambiguity sets. These constitute a very rich uncertainty model, which enjoys many desirable geometrical, statistical, and computational properties, and which naturally generalizes both robust and stochastic models, and captures many additional real-world uncertainty phenomena (e.g...
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作者:Lovi, Alex; Fidan, Baris; Nielsen, Christopher
作者单位:University of Waterloo; University of Waterloo
摘要:In this article, we develop a multiple model reference adaptive controller (MMRAC) with blending. The systems under consideration are Non square, i.e., the num-ber of inputs is not equal to the number of states; multi-input, linear, time-invariant with uncertain parameters that lie inside of a known, compact, and convex set. Moreover, the full state of the plant is available for feedback. A multiple model online identification scheme for the plant's state and input matrices is developed that g...
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作者:Yang, Xinyu; Puig, Vicenc; Wang, Xingjian; Wang, Shaoping; Sun, Chen; Zhang, Yixin
作者单位:Beihang University; Universitat Politecnica de Catalunya; Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Institut de Robotica i Informatica Industrial (IRII); Beihang University; Beihang University; Tianmushan Lab; China University of Mining & Technology
摘要:In this article, a dynamic high-gain-based decentralized optimal fault-tolerant control (FTC) strategy for a class of strong interconnected systems with unknown actuator faults is proposed. The interactions considered are bounded by some functions that depend on all subsystems' states. A two-layer control framework is presented for each subsystem to steer its tracking error asymptotically to zero. In the upper layer, an error optimizer is designed to generate optimal error trajectory based on ...
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作者:Takayama, Yoshinari; Hashimoto, Kazumune; Ohtsuka, Toshiyuki
作者单位:Universite Paris Saclay; University of Osaka; Kyoto University
摘要:Signal temporal logic (STL) is a powerful formalism for specifying various temporal properties in dynamical systems. However, existing methods, such as mixed-integer programming and nonlinear programming, often struggle to efficiently solve control problems with complex, long-horizon STL specifications. This study introduces STLCCP, a novel convex optimization-based framework that leverages key structural properties of STL: monotonicity of the robustness function, its hierarchical tree structu...