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A novel hybrid multi-criteria group decision-making approach with intuitionistic fuzzy sets to design reverse supply chains for COVID-19 medical waste recycling channels., , , , and . Comput. Ind. Eng., (2022)A multi-objective feature selection method based on bacterial foraging optimization., , , , and . Nat. Comput., 20 (1): 63-76 (2021)Barrier Lyapunov functions for the output tracking control of constrained nonlinear switched systems., and . Syst. Control. Lett., 62 (10): 963-971 (2013)Partial-State-Constrained Adaptive Intelligent Tracking Control of Nonlinear Nonstrict-Feedback Systems with Unmodeled Dynamics and Its Application., , , , , and . Complex., (2020)Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (2): 999-1007 (February 2023)Neural-Network-Based Adaptive Event-Triggered Asymptotically Consensus Tracking Control for Nonlinear Nonstrict-Feedback MASs: An Improved Dynamic Surface Approach., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (1): 584-597 (January 2024)On a diffusive predator-prey model with nonlocal fear effect., and . Appl. Math. Lett., (2022)Adaptive neural control for switched nonlinear systems with unknown backlash-like hysteresis and output dead-zone., , , , and . Neurocomputing, (2019)Hybrid learning particle swarm optimizer with genetic disturbance., , and . Neurocomputing, (2015)A lifecycle model for simulating bacterial evolution., , , , and . Neurocomputing, 72 (1-3): 142-148 (2008)