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• Data-driven model improvement for model-based control出版社:Automatica 时间:2015 作者:Marco Forgione;Xavie...
来源: 自动化与控制
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• Fractional-order sliding mode based extremum seeking control of a class of nonlinear systems出版社:Automatica 时间:2014 作者:Chun Yin;YangQuan Ch...
来源: 自动化与控制
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• Structural analysis of sensor location for disturbance rejection by measurement feedback出版社:Automatica 时间:2015 作者:Jean-Michel Dion;Chr...
来源: 自动化与控制
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• On the optimal worst-case experiment design for constrained linear systems出版社:Automatica 时间:2014 作者:Marko Tanaskovic;Lor...
来源: 自动化与控制
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• Distributed practical output tracking of high-order stochastic multi-agent systems with inherent nonlinear drift and diffusion terms出版社:Automatica 时间:2014 作者:Wuquan Li;Ji-Feng Zh...
来源: 自动化与控制
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• A tensor-based approach to touch modality classification by using machine learning出版社:Robotics and Auton... 时间:2015 作者:P. Gastaldo;L. Pinna...
来源: 自动化与控制
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• Adaptive “load-distributed” muscle coordination method for kinematically redundant musculoskeletal humanoid systems出版社:Robotics and Auton... 时间:2015 作者:Haiwei Dong;Nadia Fi...
来源: 自动化与控制
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• Review of assistive strategies in powered lower-limb orthoses and exoskeletons出版社:Robotics and Auton... 时间:2015 作者:Tingfang Yan;Marco C...
来源: 自动化与控制
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• Re-balancing problem for assembly lines: new mathematical model and exact solution method:出版社:Assembly Automatio... 时间:2015 作者:Fatme Makssoud ; Olg...
来源: 自动化与控制