## What is/are Composite Hierarchical?

Composite Hierarchical - As well-known disturbance rejection methods, composite hierarchical anti-disturbance control (CHADC) can effectively compensate and suppress disturbance, which improves the control performances of complex systems.^{[1]}In order to quickly and accurately identify the fault status of common rail injectors, this paper proposes an intelligent fault diagnosis method for common rail injectors based on Composite Hierarchical Dispersion Entropy (CHDE) and Improved Grasshopper Optimization Algorithm based Least Squares Support Vector Machine (IGOA-LSSVM).

^{[2]}As an effective disturbance rejection method, composite hierarchical anti-disturbance control (CHADC) can compensate and attenuate disturbances simultaneously, which can handle complicated cases.

^{[3]}To effectively extract the dynamic features representing the gear state from the vibration signals, this paper proposes refined composite hierarchical fluctuation dispersion entropy (RCHFDE), where the composite hierarchical decomposition is employed to replace the traditional hierarchical decomposition to improve the performance of HFDE.

^{[4]}Motivated by the composite hierarchical anti-disturbance control strategy, a robust haptic force observer (RHOB) is designed by a solution of a linear matrix inequality (LMI), which can extract precise haptic force from multiple disturbances by taking a strategy of compensation and suppression in due course.

^{[5]}The bifunctional catalysts with CoMoS mixed sulfide active phase supported on composite hierarchical aluminosilicate supports obtained by SBA-15, MCM-41 incorporating into alumina were synthesized.

^{[6]}In this article, a novel composite hierarchical antidisturbance control (CHADC) algorithm aided by the information-theoretic learning (ITL) technique is developed for non-Gaussian stochastic systems subject to dynamic disturbances.

^{[7]}The proposed control scheme, known as composite hierarchical anti-disturbance control (CHADC), consists of nonlinear disturbance observer (NDO) and the control law.

^{[8]}Inspired by the composite hierarchical structure of conventional pillows, a pillow-shaped 3D hierarchical piezoresistive pressure sensor is presented in this work.

^{[9]}A composite hierarchical anti-disturbance control (CHADC) scheme is designed by integrated Lyapunov function and linear matrix inequality (LMI), such that the expected dynamic performance of the composite system is achieved.

^{[10]}Then, we construct a composite hierarchical controller based on the outputs of the proposed observer.

^{[11]}Therefore, to deal with the multiple disturbances, this paper proposes a low-order composite hierarchical anti-disturbance control law by combing the CM-based intelligent adaptive control (CMBIAC) with disturbance observer-based control (DOBC) for the first time.

^{[12]}The structure–function relationships that govern the superior mechanical performance of these systems are attributed to their well-organized composite hierarchical structures.

^{[13]}Our aim is to construct, simultaneously, a model-dependent disturbance observer for modelling the disturbance estimate and a model-dependent fault diagnosis observer for the time-varying fault estimate and then propose a composite hierarchical control scheme by integrating the fault and disturbance estimates using a state feedback control strategy.

^{[14]}For the uncertainty of the current stiffness and the unbalanced vibration during the stable operation of the magnetic suspended control moment gyro(MSCMG), the method of composite hierarchical anti-disturbance control(CHADC) is implemented to realize the stability control of the magnetic bearing system.

^{[15]}The strategy of in situ space-confined-growth combined with the design of a composite hierarchical porous structure provides an efficient solution to fabricate high-performance MoSe2-based pH-universal electrocatalysts for hydrogen production.

^{[16]}Design/methodology/approach The model uncertainties and link vibration of manipulators will degrade the tracking performance of space manipulators; in this paper, a new hybrid control scheme that consists of a composite hierarchical anti-disturbance controller and an iterative learning controller is developed to solve this problem.

^{[17]}

## anti disturbance control

As well-known disturbance rejection methods, composite hierarchical anti-disturbance control (CHADC) can effectively compensate and suppress disturbance, which improves the control performances of complex systems.^{[1]}As an effective disturbance rejection method, composite hierarchical anti-disturbance control (CHADC) can compensate and attenuate disturbances simultaneously, which can handle complicated cases.

^{[2]}Motivated by the composite hierarchical anti-disturbance control strategy, a robust haptic force observer (RHOB) is designed by a solution of a linear matrix inequality (LMI), which can extract precise haptic force from multiple disturbances by taking a strategy of compensation and suppression in due course.

^{[3]}The proposed control scheme, known as composite hierarchical anti-disturbance control (CHADC), consists of nonlinear disturbance observer (NDO) and the control law.

^{[4]}A composite hierarchical anti-disturbance control (CHADC) scheme is designed by integrated Lyapunov function and linear matrix inequality (LMI), such that the expected dynamic performance of the composite system is achieved.

^{[5]}Therefore, to deal with the multiple disturbances, this paper proposes a low-order composite hierarchical anti-disturbance control law by combing the CM-based intelligent adaptive control (CMBIAC) with disturbance observer-based control (DOBC) for the first time.

^{[6]}

## composite hierarchical antus

As well-known disturbance rejection methods, composite hierarchical anti-disturbance control (CHADC) can effectively compensate and suppress disturbance, which improves the control performances of complex systems.^{[1]}As an effective disturbance rejection method, composite hierarchical anti-disturbance control (CHADC) can compensate and attenuate disturbances simultaneously, which can handle complicated cases.

^{[2]}Motivated by the composite hierarchical anti-disturbance control strategy, a robust haptic force observer (RHOB) is designed by a solution of a linear matrix inequality (LMI), which can extract precise haptic force from multiple disturbances by taking a strategy of compensation and suppression in due course.

^{[3]}The proposed control scheme, known as composite hierarchical anti-disturbance control (CHADC), consists of nonlinear disturbance observer (NDO) and the control law.

^{[4]}A composite hierarchical anti-disturbance control (CHADC) scheme is designed by integrated Lyapunov function and linear matrix inequality (LMI), such that the expected dynamic performance of the composite system is achieved.

^{[5]}Therefore, to deal with the multiple disturbances, this paper proposes a low-order composite hierarchical anti-disturbance control law by combing the CM-based intelligent adaptive control (CMBIAC) with disturbance observer-based control (DOBC) for the first time.

^{[6]}For the uncertainty of the current stiffness and the unbalanced vibration during the stable operation of the magnetic suspended control moment gyro(MSCMG), the method of composite hierarchical anti-disturbance control(CHADC) is implemented to realize the stability control of the magnetic bearing system.

^{[7]}Design/methodology/approach The model uncertainties and link vibration of manipulators will degrade the tracking performance of space manipulators; in this paper, a new hybrid control scheme that consists of a composite hierarchical anti-disturbance controller and an iterative learning controller is developed to solve this problem.

^{[8]}

## composite hierarchical structure

Inspired by the composite hierarchical structure of conventional pillows, a pillow-shaped 3D hierarchical piezoresistive pressure sensor is presented in this work.^{[1]}The structure–function relationships that govern the superior mechanical performance of these systems are attributed to their well-organized composite hierarchical structures.

^{[2]}