Results 241 to 250 of about 911,854 (288)

Adaptive variable impedance hybrid force-position control method for hub-spoke grinding robots. [PDF]

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Beyond Battery State of Charge Estimation: Observer for Electrode-Level State and Cyclable Lithium With Electrolyte Dynamics

IEEE Transactions on Transportation Electrification, 2023
This article presents a provably convergent battery estimation scheme based on a single particle model with electrolyte (SPMe) dynamics, by proposing a systematic methodology to estimate critical information such as electrode-level states, electrolyte ...
Dong Zhang   +4 more
semanticscholar   +1 more source

Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints

IEEE Transactions on Neural Networks and Learning Systems, 2021
This article proposes an adaptive neural network (NN) output feedback optimized control design for a class of strict-feedback nonlinear systems that contain unknown internal dynamics and the states that are immeasurable and constrained within some ...
Yong-ming Li, Yanjun Liu, Shaocheng Tong
semanticscholar   +1 more source

Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
This article aims at solving the problems of data-driven control design in the presence of strong uncertainties, hard nonlinearities, and model dependency by using a dynamic linearization (DL) method and an extended state observer (ESO).
R. Chi, Xiaolin Guo, Na Lin, B. Huang
semanticscholar   +1 more source

A fixed-time distributed extended state observer for uncertain second-order nonlinear system.

ISA transactions, 2023
This paper investigates the fixed-time distributed estimation problem for a class of second-order nonlinear systems with uncertain input, unknown nonlinearity and matched perturbation. A fixed-time distributed extended state observer (FxTDESO) consisting
Jixing Lv   +3 more
semanticscholar   +1 more source

An Observer-Based Neural Adaptive $PID^2$ Controller for Robot Manipulators Including Motor Dynamics With a Prescribed Performance

IEEE/ASME transactions on mechatronics, 2021
This article proposes a novel prescribed performance-based neural adaptive control scheme for robot manipulators including motor dynamics under model uncertainties without velocity, acceleration, and input current measurements. The prescribed performance
Khoshnam Shojaei, A. Kazemy, A. Chatraei
semanticscholar   +1 more source

Observer-Based Adaptive Optimized Control for Stochastic Nonlinear Systems With Input and State Constraints

IEEE Transactions on Neural Networks and Learning Systems, 2021
In this work, an adaptive neural network (NN) optimized output-feedback control problem is studied for a class of stochastic nonlinear systems with unknown nonlinear dynamics, input saturation, and state constraints.
Yong-ming Li   +3 more
semanticscholar   +1 more source

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