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Sparsely distributed sliding mode control for interconnected systems.

, , , and . J. Frankl. Inst., 355 (14): 6191-6214 (2018)

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Revolutionizing Genomics with Reinforcement Learning Techniques., , , , , and . CoRR, (2023)ℋ2-based optimal sparse sliding mode control for networked control systems., , , and . CDC, page 6826-6831. IEEE, (2016)New Perspectives on Non-invasive Blood Pressure Measurement., , , , , and . EMBC, page 1-4. IEEE, (2023)A Novel Optimal Sliding Mode Control For Multiple Time-Delay Systems., , , and . ACC, page 4081-4086. IEEE, (2018)Design of H2 (H∞)-based optimal structured and sparse static output feedback gains., , and . J. Frankl. Inst., 354 (10): 4156-4178 (2017)On LMI-based sliding mode control for uncertain discrete-time systems., , , and . J. Frankl. Inst., 353 (15): 3857-3875 (2016)Real-time modelling of heart rate response during exercise using a novel constrained parameter estimation method., , , , and . EMBC, page 2680-2683. IEEE, (2016)Sparsely distributed sliding mode control for interconnected systems., , , and . J. Frankl. Inst., 355 (14): 6191-6214 (2018)Seasonal Variation In An At-Home Telemonitoring Trial., and . EMBC, page 1-4. IEEE, (2018)Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and Deep Learning., and . EMBC, page 1821-1824. IEEE, (2019)