Suchergebnisse - "convex optimisation algorithm"

Analysis of distributed ADMM algorithm for consensus optimisation over lossy networks von Majzoobi, Layla, Shah-Mansouri, Vahid, Lahouti, Farshad

“… Alternating direction method of multipliers (ADMM) is a popular convex optimisation algorithm, which is implemented in a distributed manner …”
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A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison von Zhang, Tingting, Pham, Minh, Sun, Jianhui, Yan, Guofen, Li, Huazhang, Sun, Yinge, Gonzalez, Marlen Z., Coan, James A.

“… The focus of this paper is on evaluating brain responses to different stimuli and identifying brain regions with different responses using multi-subject, stimulus-evoked functional magnetic resonance imaging (fMRI) data …”
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Design of Nearly Linear Phase IIR Fractional Order Digital Differentiators using Iterative Convex Optimization Algorithm von Chen, Juan, Wei, Xuewen, Meng, Hailong

“… To resolve this, we propose an Iterative Convex Optimization algorithm that reformulates the nonconvex problem into a series of convex subproblems utilizing a Gauss-Newton strategy …”
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An online convex optimization algorithm for controlling linear systems with state and input constraints von Nonhoff, Marko, Muller, Matthias A.

“… This paper studies the problem of controlling linear dynamical systems subject to point-wise-in-time constraints …”
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Anti-disturbance tracking control for systems with nonlinear disturbances using T–S fuzzy modeling von Yi, Yang, Fan, Xiang Xiang, Zhang, Tian Ping

“… This paper addresses a novel anti-disturbance dynamical tracking problem for a class of MIMO systems subject to unknown disturbances and nonlinear dynamics …”
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An online convex optimization algorithm for controlling linear systems with state and input constraints von Nonhoff, Marko, Müller, Matthias A

“… This paper studies the problem of controlling linear dynamical systems subject to point-wise-in-time constraints …”
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Anti-windup design for rational systems by linear-fractional representation von Wang, Naizhou, Pei, Hailong, Wang, Jun, Zhang, Qian

“… By using quadratic Lyapunov function and with a modified sector condition, convex optimisation algorithms based on linear-matrix inequalities are devised to maximise the region of attraction …”
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Improved Non Convex Optimization Algorithm for Reconstruction of Sparse Signals von Ronggen Yang, Mingwu Ren

“… The form is solution to the optimization problem min ||s|| 0 , subject to As = x. while this is an NP hard problem, i.e …”
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Master–slave synchronization of neural networks subject to mixed-type communication attacks von Kazemy, Ali, Saravanakumar, Ramasamy, Lam, James

“… A convex optimization algorithm is proposed to design the static output feedback controller …”
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A Relaxed Observer-Based Control for LPV Stochastic Systems Subject to H∞ Performance von Chen, Guan-Wei, Ku, Cheung-Chieh

“… By using convex optimization algorithm, all feasible solutions can be obtained …”
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Event-Based Set-Membership Leader-Following Consensus of Networked Multi-Agent Systems Subject to Limited Communication Resources and Unknown-But-Bounded Noise von Ge, Xiaohua, Han, Qing-Long, Yang, Fuwen

“… This paper addresses the problem of leader-following consensus for networked multi-agent systems subject to limited communication resources and unknown-but-bounded process and measurement noise …”
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Distributionally robust joint chance constraints with second-order moment information von Zymler, Steve, Kuhn, Daniel, Rustem, Berç

“… We develop tractable semidefinite programming based approximations for distributionally robust individual and joint chance constraints, assuming that only the …”
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Sliding mode fuzzy control for nonlinear stochastic systems subject to pole assignment and variance constraint von Chang, Wen-Jer, Qiao, Hong-Yu, Ku, Cheung-Chieh

“… Based on Lyapunov theory, some sufficient conditions are derived into linear matrix inequality form that can be directly solved by the convex optimization algorithm …”
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State estimation for a class of artificial neural networks subject to mixed attacks: A set-membership method von Qu, Yi, Pang, Kai

“… By means of the set-membership approach in combination with certain convex optimization algorithm, the sufficient condition is established for the existence of the desired state estimator in terms …”
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L2-L∞ state estimation for continuous stochastic delayed neural networks via memory event-triggering strategy von Yang, Juanjuan, Ma, Lifeng, Chen, Yonggang, Yi, Xiaojian

“… ) subject to time-varying delays. The information of some recent released packets is made use in the proposed triggering conditions to schedule the data propagation, thereby reducing communication frequency and saving energy …”
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Reliable Sliding Mode Control of Fast Sampling Singularly Perturbed Systems: A Redundant Channel Transmission Protocol Approach von Song, Jun, Niu, Yugang, Lam, Hak-Keung

“… and the reachability of the specified sliding surface. Moreover, a convex optimization algorithm is formulated to solve …”
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Sampled-data observer-based anti-windup control for singularly perturbed systems with actuator saturation von Yan, Yifang, Yang, Chunyu, Ma, Xiaoping, Zhou, Linna

“… Furthermore, a convex optimization algorithm is formulated to obtain a desired stability bound and enlarge the basin of attraction at the same time …”
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Observer-Based Robust Fuzzy Controller Design for Uncertain Singular Fuzzy Systems Subject to Passivity Criterion von Chang, Wen-Jer, Huang, Yu-Min, Ku, Cheung-Chieh, Du, Jialu

“… ), are applied to convert the conditions to Linear Matrix Inequality (LMI) form. Therefore, the convex optimization algorithm is used to solve the LMI conditions …”
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Novel Delay-Dependent Stabilization for Fuzzy Stochastic Systems with Multiplicative Noise Subject to Passivity Constraint von Ku, Cheung-Chieh, Chang, Wen-Jer, Huang, Kuan-Wei

“… In order to employ a convex optimization algorithm to find the control gain, a projection lemma is applied to acquire the Linear Matrix Inequality …”
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Secure platooning control of automated vehicles under cyber attacks von Mousavinejad, Eman, Vlacic, Ljubo

“… heterogenous engine time constants, bounded disturbance and noise. A convex optimization algorithm is proposed to find some optimal ellipsoidal sets and recursively solve out gain matrices of the local …”
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