Results 41 to 50 of about 201,217 (301)

Composite Learning Prescribed Performance Control of Nonlinear Systems [PDF]

open access: yesComplexity, 2021
This paper investigates a composite learning prescribed performance control (PPC) scheme for uncertain strict‐feedback system. Firstly, a prescribed performance boundary (PPB) condition is developed for the tracking error, and the original system is transformed into an equivalent one by using a transformation function.
Fang Zhu, Wei Xiang, Chunzhi Yang
openaire   +2 more sources

Dynamic Event-Triggered Adaptive Broad Learning for a Two-Degree-of-Freedom Helicopter System with Prescribed Performance

open access: yesMathematics
This study proposes an adaptive broad learning strategy for a two-degree-of-freedom helicopter system based on specified performance and dynamic event-triggered. First, broad learning is employed to approximate system uncertainties.
Liang Cao   +5 more
doaj   +1 more source

Boundary Control of Flexible String Systems With Guaranteed Performance

open access: yesIEEE Access, 2019
This paper focused on the prescribed performance constraint control issue of vibrating flexible string systems affected by external disturbances. To stabilize the vibration, tackle the external disturbance, and achieve the pre-set performance, a smooth ...
Jian Shi, Xiaowei Wang
doaj   +1 more source

Observer-Based Adaptive Fuzzy Finite-Time Control Design With Prescribed Performance for Switched Pure-Feedback Nonlinear Systems

open access: yesIEEE Access, 2021
In this paper, an adaptive fuzzy finite-time control problem for pure-feedback switched nonlinear systems with prescribed performance is investigate. By utilizing the prescribed performance technique, we mean that the system output is converge to the ...
Peng Zhou   +3 more
doaj   +1 more source

Model-Free RBF Neural Network Intelligent-PID Control Applying Adaptive Robust Term for Quadrotor System

open access: yesDrones
This paper proposes a quadrotor system control scheme using an intelligent–proportional–integral–differential control (I-PID)-based controller augmented with a radial basis neural network (RBF neural network) and the proposed adaptive robust term.
Sung-Jae Kim, Jin-Ho Suh
doaj   +1 more source

Performance-Guaranteed Tracking Control of an Autonomous Surface Vessel With Parametric Uncertainties and Time-Varying Disturbances

open access: yesIEEE Access, 2019
In this paper, the model-based adaptive control combined with a continuous robust integral of the sign of the error (RISE) feedback strategy is presented for the trajectory tracking control of an autonomous surface vessel (ASV) subject to parametric ...
Chao Dong, Shude He, Shi-Lu Dai
doaj   +1 more source

Improved Model Predictive Control with Prescribed Performance for Aggregated Thermostatically Controlled Loads

open access: yesJournal of Modern Power Systems and Clean Energy, 2022
Aggregate thermostatically controlled loads (ATCLs) are a suitable candidate for power imbalance on demand side to smooth the power fluctuation of renewable energy.
Yang Yu   +5 more
doaj   +1 more source

Modeling and prescribed H-infinity tracking control for strict feedback nonlinear systems

open access: yesNonlinear Analysis, 2017
By utilizing backstepping technique, an H∞ robust controller with improved prescribed performance and dynamic surface control is designed for a class of strict feedback nonlinear systems. The transient and steady state performance for the tracking errors
Chuang Gao   +3 more
doaj   +1 more source

Prescribed Performance Guidance Law with Multiple Constraints

open access: yes, 2022
In the terminal guidance phase of intercepting aerial target, a guidance law, satisfying impact angle constraint, acceleration constraint, and second-order dynamic characteristic of interceptor autopilot, is designed based on the prescribed performance ...
Xiao Tang, Jikun Ye, Xu Li, Chijun Zhou
core   +1 more source

Uncertainty-Estimation-Based Prescribed Performance Pressure Control for Train Electropneumatic Brake Systems

open access: yesActuators, 2023
Fast and precise pressure control for an electropneumatic brake system is essential for ensuring the safe operation of trains. However, the nonlinearity and uncertainties of the system make controller design challenging.
Rui Zhang   +3 more
doaj   +1 more source

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