Adaptive state-dependent impulsive observer design for nonlinear deterministic and stochastic dynamics with time-delays

Kalamian, Nasrin; Khaloozadeh, Hamid; Ayati, S. M.

doi:10.1016/j.isatra.2019.08.034

Cited by 20 publications

(3 citation statements)

References 42 publications

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“…The CSTR system is under an extended state‐dependent Riccati equation (ESDRE) controller for simulation [35–38]. The initial conditions are considered as

\chi ( 0 ) = {[ { \def\eqcellsep{&}\begin{array}{*{20}{c}} {0.01}&{0.01} \end{array} } ]}^T

.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Fault estimation for nonlinear uncertain time‐delay systems based on unknown input observer

Azarbani,

Fakharian,

Menhaj

2024

IET Control Theory & Appl

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In this paper, a novel nonlinear unknown input observer is proposed in order to fault estimation for nonlinear uncertain systems with time delays. By the estimation of the faults, the features are detected such as shape, size occurrence time etc. The time delay is considered a constant and known parameter in the states. The disturbances are investigated in the states and outputs and also, and sensor and actuator faults are considered. The stability of the closed‐loop system is guaranteed by Lyapunov–Krasovskii theory and some feasible Linear matrix inequalities (LMI). The proposed method is simulated on a continuous‐stirred tank reactor (CSTR) with uncertainties and time delay. Simulation results show the appropriate efficiency of the proposed method.

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“…The CSTR system is under an extended state‐dependent Riccati equation (ESDRE) controller for simulation [35–38]. The initial conditions are considered as

\chi ( 0 ) = {[ { \def\eqcellsep{&}\begin{array}{*{20}{c}} {0.01}&{0.01} \end{array} } ]}^T

.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The CSTR system is under an extended state-dependent Riccati equation (ESDRE) controller for simulation [35][36][37][38].…”

Section: Omentioning

confidence: 99%

Fault estimation for nonlinear uncertain time‐delay systems based on unknown input observer

Azarbani,

Fakharian,

Menhaj

2024

IET Control Theory & Appl

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“…In [30], an impulsive observer (IO) is introduced based on state-dependent Computers 2024, 13, 142 3 of 17 matrices for nonlinear time-delay systems. Furthermore, an adaptive IO (AIO) is suggested for a class of nonlinear time-delay systems with unknown parameters in [31]. Moreover, in [32], an AIO is investigated based on the feasibility of a centralisation perspective for a class of uncertain nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Observer-Based Suboptimal Controller Design for Permanent Magnet Synchronous Motors: State-Dependent Riccati Equation Controller and Impulsive Observer Approaches

Kalamian,

Soltani,

Bouzari Liavoli

et al. 2024

Computers

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Permanent Magnet Synchronous Motors (PMSMs) with high energy efficiency, reliable performance, and a relatively simple structure are widely utilised in various applications. In this paper, a suboptimal controller is proposed for PMSMs without sensors based on the state-dependent Riccati equation (SDRE) technique combined with customised impulsive observers (IOs). Here, the SDRE technique facilitates a pseudo-linearised display of the motor with state-dependent coefficients (SDCs) while preserving all its nonlinear features. Considering the risk of non-available/non-measurable states in the motor due to sensor and instrumentation costs, the SDRE is combined with IOs to estimate the PMSM speed and position states. Customised IOs are proven to be capable of obtaining quality, continuous estimates of the motor states despite the discrete format of the output signals. The simulation results in this work illustrate an accurate state estimation and control mechanism for the speed of the PMSM in the presence of load torque disturbances and reference speed changes. It is clearly shown that the SDRE-IO design is superior compared to the most popular existing regulators in the literature for sensorless speed control.

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Impulsive Functional Observer Design for Fractional-Order Nonlinear Systems Satisfying Incremental Quadratic Constraints

Liu

Shang

et al. 2022

Circuits Syst Signal Process

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Adaptive state-dependent impulsive observer design for nonlinear deterministic and stochastic dynamics with time-delays

Cited by 20 publications

References 42 publications

Fault estimation for nonlinear uncertain time‐delay systems based on unknown input observer

Fault estimation for nonlinear uncertain time‐delay systems based on unknown input observer

Observer-Based Suboptimal Controller Design for Permanent Magnet Synchronous Motors: State-Dependent Riccati Equation Controller and Impulsive Observer Approaches

Impulsive Functional Observer Design for Fractional-Order Nonlinear Systems Satisfying Incremental Quadratic Constraints

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