Search Results - "convex optimisation algorithms"

Anti-windup design for rational systems by linear-fractional representation by 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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L2-L∞ state estimation for continuous stochastic delayed neural networks via memory event-triggering strategy by 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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Analysis of distributed ADMM algorithm for consensus optimisation over lossy networks by 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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Linear functional observers with guaranteed ε-convergence for discrete time-delay systems with input/output disturbances by Nguyen, M. C., Trinh, H., Nam, P. T.

“…The problem of designing linear functional observers for discrete time-delay systems with unknown-but-bounded disturbances in both the plant and the output is…”
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L 2-L ∞ state estimation for continuous stochastic delayed neural networks via memory event-triggering strategy by 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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A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison by 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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Probability-Guaranteed Envelope-Constrained Filtering for Nonlinear Systems Subject to Measurement Outliers by Ma, Lifeng, Wang, Zidong, Hu, Jun, Han, Qing-Long

“…This article deals with the recursive filtering problem for nonlinear time-varying stochastic systems subject to possible measurement outliers…”
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Dynamic event-based finite-horizon H∞ secure consensus control of a class of nonlinear multi-agent systems by Pang, Kai, Ma, Lifeng, Bai, Hongyang, Yi, Xiaojian

“…) subject to multiple attacks over a finite time interval. A novel and comprehensive model to characterize the multiple attacks is presented that includes denial-of-service (DoS…”
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Non-convex optimization for inverse problem solving in computer-generated holography by Sui, Xiaomeng, He, Zehao, Chu, Daping, Cao, Liangcai

“… Various non-convex optimization algorithms are thus designed to seek an optimal solution by introducing different constraints…”
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Design of Nearly Linear Phase IIR Fractional Order Digital Differentiators using Iterative Convex Optimization Algorithm by 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 by 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 by 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 by 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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Consensus of Linear Multiagent Systems With Actuator Saturation and External Disturbances by Deng, Chao, Yang, Guang-Hong

“… Moreover, all the optimization problems are transformed into the corresponding convex optimization algorithms with linear-matrix-inequality constraints…”
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Passivity analysis for discrete-time neural networks with mixed time-delays and randomly occurring quantization effects by Zhang, Jie, Ma, Lifeng, Liu, Yurong

“…-dissipative property of the considered neural networks. The main results are proposed by virtue of the linear matrix inequality approach that can be easily solved by certain convex optimization algorithms. The obtained methodology is capable of being adopted in the passivity analysis with little modifications. A numerical example is provided to verify the correctness and effectiveness of the exploited methodology…”
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Robust Control of Positive Fractional‐Order Interconnected Systems with Heterogeneous Delays by Le, Hien Van, Chu, Kinh Trong

“… The design conditions for obtaining controller gains of stabilizing decentralized controllers are formulated using linear programming, which can be effectively solved by various convex optimization algorithms…”
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On the Convex Parameterization of Constrained Spacecraft Reorientation by Yoonsoo Kim, Mesbahi, M, Singh, G, Hadaegh, F Y

“… We then elaborate on ramifications of such a parameterization in the development of steering laws for autonomous spacecraft reorientation that are based on convex optimization algorithms…”
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Fronthaul-Constrained Cell-Free Massive MIMO With Low Resolution ADCs by Femenias, Guillem, Riera-Palou, Felip

“… signal processing through a proper orchestration of the functional split between the CPU and the APs. Cell-free massive MIMO networks, however, are often subject…”
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Computation Offloading and Resource Allocation in Mobile Edge Computing via Reinforcement Learning by Wang, Danfeng, Zhao, Jian

“… Our intent is to minimize the weighted sum cost of the system, which takes into account the energy consumption and time delay, for both task processing and data transmissions, subject to the force…”
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Improved Non Convex Optimization Algorithm for Reconstruction of Sparse Signals by 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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