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On positive realness and negative imaginariness of uncertain discrete-time state-space symmetric systems.

, , , and . Int. J. Syst. Sci., 51 (8): 1406-1417 (2020)

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Vibrational energy harvesting by exploring structural benefits and nonlinear characteristics., and . Commun. Nonlinear Sci. Numer. Simul., (2017)Training Dynamic Motion Primitives using Deep Reinforcement Learning to Control a Robotic Tadpole., , , and . IROS, page 6881-6887. IEEE, (2022)On positive realness and negative imaginariness of uncertain discrete-time state-space symmetric systems., , , and . Int. J. Syst. Sci., 51 (8): 1406-1417 (2020)A nonlinear X-shaped structure based tuned mass damper with multi-variable optimization (X-absorber)., and . Commun. Nonlinear Sci. Numer. Simul., (2021)Fast Asymptotically Optimal Path Planning in Dynamic, Uncertain Environments., und . IROS, Seite 2846-2852. (2023)Optimization of Fuzzy Membership Function based on the NCOS function method., , , und . IECON, Seite 323-328. IEEE, (2020)A Learning Approach to Identification of Nonlinear Physiological Systems using Wiener Models., , , , und . BIOSIGNALS, Seite 472-476. SciTePress, (2011)Fuzzy Adaptive Control for Nonlinear Suspension Systems Based on a Bioinspired Reference Model With Deliberately Designed Nonlinear Damping., , , und . IEEE Trans. Ind. Electron., 66 (11): 8713-8723 (2019)Adaptive Neural Network Control for Double-Pendulum Tower Crane Systems., und . NCAA, Volume 1265 von Communications in Computer and Information Science, Seite 83-96. Springer, (2020)BiFormer: An End-to-End Deep Learning Approach for Enhanced Image-Based Photoplethysmography and Heart Rate Accuracy., , , , , , und . CECNet, Volume 381 von Frontiers in Artificial Intelligence and Applications, Seite 205-214. IOS Press, (2023)