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A Novel Theoretical Probabilistic Model for Opportunistic Routing with Applications in Energy Consumption for WSNs.

, , , , , , and . Sensors, 21 (23): 8058 (2021)

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An Approach to Energy Efficiency in a Multi-Hop Network Control System through a Trade-Off between H-inf Norm and Global Number of Transmissions., , and . CoRR, (2018)Gain-Scheduled Fault Detection Filter for Discrete-Time LPV Systems., , , , and . IEEE Access, (2021)A Novel Theoretical Probabilistic Model for Opportunistic Routing with Applications in Energy Consumption for WSNs., , , , , , and . Sensors, 21 (23): 8058 (2021)H2 and H∞ mode-independent state-feedback control of generalized Bernoulli jump systems with uncertain probabilities., , , and . ACC, page 5724-5729. IEEE, (2018)H2 control and filtering of discrete-time LPV systems exploring statistical information of the time-varying parameters., , and . J. Frankl. Inst., 357 (6): 3835-3864 (2020)H2 state-feedback control for discrete-time cyber-physical uncertain systems under DoS attacks., , and . Appl. Math. Comput., (2022)Protocol for Energy-Efficiency using Robust Control on WSN., , and . CoRR, (2018)Robust Static Output-Feedback Control for MJLS with Non-Homogeneous Markov Chains: A Comparative Study Considering a Wireless Sensor Network with Time-Varying PER., , , , and . Sensors, 21 (19): 6420 (2021)Reinforcement learning for control design of uncertain polytopic systems., , , and . Inf. Sci., (May 2023)H2 gain-scheduled filtering for discrete-time LPV systems using estimated time-varying parameters., , and . ACC, page 4367-4372. IEEE, (2018)