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   Articles with "nonlinear uncertain" as a keyword



On Explicit Tuning Laws of Active Disturbance Rejection Control for Nonlinear Uncertain Systems Under Quantized Sampled‐Data Measurements

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recommendations! Published in 2025 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.70174

Abstract: In this paper, the control problem for a class of systems with nonlinear uncertain dynamics under quantized sampled‐data measurements is considered. Firstly, the explicit tuning laws for ADRC design with a discrete ESO for promptly… read more here.

Keywords: sampled data; tuning laws; control; nonlinear uncertain ... See more keywords

Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators

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recommendations! Published in 2018 at "Science China Information Sciences"

DOI: 10.1007/s11432-017-9363-y

Abstract: This paper addresses the learning control problem for a group of robot manipulators with homogeneous nonlinear uncertain dynamics, where all the robots have an identical system structure but the reference signals to be tracked differ.… read more here.

Keywords: control; nonlinear uncertain; homogeneous nonlinear; robot manipulators ... See more keywords

Discrete Time Sliding Mode Controller Using a Disturbance Compensator for Nonlinear Uncertain Systems

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recommendations! Published in 2018 at "International Journal of Control, Automation and Systems"

DOI: 10.1007/s12555-017-0185-0

Abstract: In this paper, we propose a new sliding mode control for discrete time nonlinear uncertain systems. The uncertainties include both parametric uncertainties in the state model and external disturbances. To recover the lost invariance and… read more here.

Keywords: sliding mode; discrete time; uncertain systems; control ... See more keywords

Distributed Optimization of Nonlinear Uncertain Systems: An Adaptive Backstepping Design

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recommendations! Published in 2020 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2020.12.1586

Abstract: Abstract This paper proposes a Lyapunov-based adaptive backstepping approach to distributed optimization of nonlinear uncertain multi-agent systems. The model of each agent is in the strict-feedback form with parametric uncertainties. By only using local objective… read more here.

Keywords: optimization; nonlinear uncertain; adaptive backstepping; optimization nonlinear ... See more keywords
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Augmented nonlinear differentiator design and application to nonlinear uncertain systems.

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recommendations! Published in 2017 at "ISA transactions"

DOI: 10.1016/j.isatra.2016.11.011

Abstract: In this paper, an augmented nonlinear differentiator (AND) based on sigmoid function is developed to calculate the noise-less time derivative under noisy measurement condition. The essential philosophy of proposed AND in achieving high attenuation of… read more here.

Keywords: uncertain systems; differentiator; nonlinear uncertain; nonlinear differentiator ... See more keywords

Interval valued data driven approach for sensor fault detection of nonlinear uncertain process

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recommendations! Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2020.108776

Abstract: Abstract In advanced industrial fields such as chemical processes, faults must absolutely be detected; we cannot afford to operate with failing operative parts. It is therefore, necessary to take into consideration the uncertainties in order… read more here.

Keywords: detection; valued data; nonlinear uncertain; interval valued ... See more keywords

Composite adaptive NN learning and control for discrete-time nonlinear uncertain systems in normal form

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.01.052

Abstract: Abstract This paper addresses the problem of composite adaptive learning and tracking control for discrete-time nonlinear uncertain systems in general normal form. To deal with the system’s unstructured nonlinear uncertain dynamics, novel adaptive neural network… read more here.

Keywords: control; nonlinear uncertain; time; adaptive learning ... See more keywords

Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments

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recommendations! Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.07.046

Abstract: Abstract This paper focuses on an adaptive learning and control problem for a class of discrete-time nonlinear uncertain systems operating under multiple environments. A novel intelligent learning control framework is proposed by using a combination… read more here.

Keywords: time; nonlinear uncertain; control; learning control ... See more keywords

Robust Reset Controller Design for Switched Nonlinear Uncertain Systems

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3228245

Abstract: This paper presents a design of a robust switching reset controller for a class of nonlinear uncertain switched systems. We consider the norm-bounded time-varying parameter uncertainties in switched nonlinear systems obeyed by the average dwell-time… read more here.

Keywords: nonlinear uncertain; reset controller; tex math; controller ... See more keywords

PID Control of Planar Nonlinear Uncertain Systems in the Presence of Actuator Saturation

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recommendations! Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"

DOI: 10.1109/jas.2021.1004281

Abstract: This paper investigates PID control design for a class of planar nonlinear uncertain systems in the presence of actuator saturation. Based on the bounds on the growth rates of the nonlinear uncertain function in the… read more here.

Keywords: system; nonlinear uncertain; pid control; actuator saturation ... See more keywords

Distributed Feedback Optimization of Nonlinear Uncertain Systems Subject to Inequality Constraints

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recommendations! Published in 2024 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2023.3343346

Abstract: This article studies the distributed feedback optimization problem for nonlinear uncertain multi-agent systems subject to inequality constraints. A new class of distributed optimization algorithms is proposed by extending the standard primal-dual dynamics and introducing two… read more here.

Keywords: feedback optimization; nonlinear uncertain; inequality constraints; distributed feedback ... See more keywords