## What is/are Strict Feedback Nonlinear?

Strict Feedback Nonlinear - This article investigates the fault-tolerant fixed-time cooperative control problem for nonstrict-feedback nonlinear multiagent systems subject to error constraints and input saturation.^{[1]}In this article, the problem of adaptive multi-dimensional Taylor network control for strict-feedback nonlinear stochastic systems with time-delay is investigated.

^{[2]}In contrast, we propose here a command-filtered backstepping H ∞ robust adaptive emotional controller (CFBRAEC) for strict-feedback nonlinear systems with mismatched uncertainties.

^{[3]}This paper investigates a distributed optimization problem for high-order strict-feedback nonlinear multiagent systems.

^{[4]}This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-feedback nonlinear systems with nonaffine nonlinear faults.

^{[5]}In this paper, an observer-based adaptive fixed-time control strategy is put forward for uncertain nonstrict-feedback nonlinear systems subject to prescribed performance, full-state constraints and event-triggered mechanism.

^{[6]}For stochastic strict-feedback nonlinear systems with unknown parameters in the drift terms or the diffusion terms, we develop new least-squares identification schemes without regressor filtering.

^{[7]}This article investigates the adaptive learning control for a class of switched strict-feedback nonlinear systems with external disturbances and input dead zone.

^{[8]}In this article, the issue of adaptive neural fault-tolerant control (FTC) is addressed for a class of uncertain switched nonstrict-feedback nonlinear systems with unmodeled dynamics and unmeasurable states.

^{[9]}In this article, two prescribed performance adaptive neural control schemes based on command-filtered backstepping are developed for a class of uncertain strict-feedback nonlinear systems.

^{[10]}This note presents a global adaptive asymptotic tracking control method, capable of guaranteeing prescribed transient behavior for uncertain strict-feedback nonlinear systems with arbitrary relative degree and unknown control directions.

^{[11]}This paper considers the adaptive neuro-fuzzy control scheme to solve the output tracking problem for a class of strict-feedback nonlinear systems.

^{[12]}This paper focuses on the event-triggered neuroadaptive output-feedback tracking control issue for nonstrict-feedback nonlinear systems with given performance specifications.

^{[13]}The leaderless consensus problem over strict-feedback nonlinear multiagent systems (MASs) with unknown model parameters and control directions is investigated.

^{[14]}The event-triggered consensus control problem is studied for nonstrict-feedback nonlinear systems with a dynamic leader.

^{[15]}This study concentrates on solving the output consensus problem for a class of heterogeneous uncertain nonstrict-feedback nonlinear multi-agent systems under switching-directed communication topologies, in which all followers are subjected to multi-type input constraints such as unknown asymmetric saturation, unknown dead-zone and their integration.

^{[16]}For strict-feedback nonlinear systems (SFNSs) with unknown control direction, this paper synthesizes an asymptotic tracking controller by a combination of the dynamic surface control (DSC) technique, the Nussbaum gain technique (NGT) and fuzzy logic systems (FLSs).

^{[17]}This article is concerned with the exponential mean-square stabilization problem for a class of discrete-time strict-feedback nonlinear systems subject to multiplicative noises.

^{[18]}The strict-feedback nonlinear system is employed to present the PMSM model.

^{[19]}This paper considers the problems of finite-time prescribed performance tracking control for a class of strict-feedback nonlinear systems with input dead-zone and saturation simultaneously.

^{[20]}An adaptive resilient control is concerned for a class of cyber-physical systems(CPSs) in presence of stealthy false data injection attack s in sensor networks and unknown strict-feedback nonlinear dynamics.

^{[21]}In this paper, the adaptive control for cyber-physical systems under injection and deception attacks is investigated, where a class of high-order strict-feedback nonlinear systems with uncertainties is considered.

^{[22]}This works is concerned with the finite-time optimal stabilization problem for a class of switched non-strict-feedback nonlinear systems whose powers are possibly different positive odd rational numbers in the sense the powers of each subsystem might differ from others.

^{[23]}In this paper, the novel constraint control strategy is presented for a class of strict-feedback nonlinear systems with actuator saturation and external disturbances by using a nonlinear mapping and a novel performance constraint function.

^{[24]}A fast finite-time fuzzy funnel control method is proposed for strict-feedback nonlinear systems.

^{[25]}In this paper, the event-triggered output-feedback prescribed performance consensus tracking protocol is proposed for a class of strict-feedback nonlinear multi-agent systems with input saturation.

^{[26]}

## adaptive neural network

In this article, the distributed adaptive neural network (NN) consensus fault-tolerant control (FTC) problem is studied for nonstrict-feedback nonlinear multiagent systems (NMASs) subjected to intermittent actuator faults.^{[1]}In this paper, the issue of adaptive neural networks event-triggered control for nonstrict-feedback nonlinear multi-input-multi-output(MIMO) systems containing unmeasured states is investigated.

^{[2]}This paper proposes an observer-based adaptive neural network backstepping sliding mode controller to ensure the stability of switched fractional order strict-feedback nonlinear systems in the presence of arbitrary switchings and unmeasured states.

^{[3]}In this paper, an adaptive neural-network (NN) output feedback optimal control problem is studied for a class of strict-feedback nonlinear systems with unknown internal dynamics, input saturation and state constraints.

^{[4]}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 predefined compact sets.

^{[5]}This paper focuses on the problem of adaptive neural network (NN) control for a class of nonstrict-feedback nonlinear systems with input delay.

^{[6]}This article first investigates the issue on dynamic learning from adaptive neural network (NN) control of discrete-time strict-feedback nonlinear systems.

^{[7]}This article investigates the adaptive neural network fixed-time tracking control for a class of strict-feedback nonlinear systems with prescribed performance demands, in which radial basis function neural network (RBFNN) is utilized to approximate the unknown items.

^{[8]}

## event triggered adaptive

This paper investigates event-triggered adaptive control problem for a class of strict-feedback nonlinear systems with full state constraints.^{[1]}This article considers the issue of event-triggered adaptive fuzzy control for state-constrained nonstrict-feedback nonlinear time-delay systems.

^{[2]}In this paper, the event-triggered adaptive fault tolerant tracking control for the strict-feedback nonlinear system with mismatched unknown parameters, external disturbances and actuator faults is addressed.

^{[3]}

## finite time adaptive

This paper considers the problem of finite-time adaptive fuzzy prescribed performance control via output-feedback for nonstrict-feedback nonlinear systems.^{[1]}In this paper, the finite-time adaptive fault-tolerant tracking control for nonstrict-feedback nonlinear systems (NSFNSs) is investigated.

^{[2]}This paper investigates the problem of finite-time adaptive output tracking control for strict-feedback nonlinear systems with parametric uncertainties.

^{[3]}

## adaptive fuzzy tracking

This article investigates the adaptive fuzzy tracking control design for uncertain nonstrict-feedback nonlinear systems with time-varying constraints and asymmetric input saturations.^{[1]}In this article, the issue of finite-time command filter-based adaptive fuzzy tracking control based on an event-triggered scheme for stochastic strict-feedback nonlinear systems is studied.

^{[2]}This paper is devoted to develop an adaptive fuzzy tracking control scheme for switched nonstrict-feedback nonlinear systems (SNFNS) with state constraints based on event-triggered mechanism.

^{[3]}

## adaptive fuzzy finite

This paper studies the disturbance observer-based adaptive fuzzy finite-time control issue of strict-feedback nonlinear systems.^{[1]}This article addresses an adaptive fuzzy finite-time control for a class of uncertain strict-feedback nonlinear systems with backlashlike hysteresis and stochastic disturbances.

^{[2]}This article presents an adaptive fuzzy finite-time control (AFFTC) method for nonstrict-feedback nonlinear systems (NFNSs) with unknown dynamics.

^{[3]}

## adaptive output feedback

This paper investigates the problem of adaptive output-feedback neural tracking control for a class of uncertain switched multiple-input multiple-output (MIMO) nonstrict-feedback nonlinear systems with time delays.^{[1]}An event-triggered (ET) neural-networks (NNs) adaptive output-feedback control approach is proposed for a class of input-saturated strict-feedback nonlinear systems with external disturbance.

^{[2]}The issue of adaptive output-feedback stabilization is investigated for a category of stochastic nonstrict-feedback nonlinear systems subject to unmeasured state and unknown control directions.

^{[3]}

## tracking control problem

In this paper, the tracking control problem is considered for a class of uncertain strict-feedback nonlinear systems with adjustable finite-time prescribed performance adaptive fuzzy control.^{[1]}ABSTRACT In this paper, we investigate the tracking control problem for a class of strict-feedback nonlinear systems with parametric uncertainties and time-varying asymmetric full-state constraints.

^{[2]}This study considers the tracking control problem of the nonstrict-feedback nonlinear system with unknown backlash-like hysteresis, and a finite-time adaptive fuzzy control scheme is developed to address this problem.

^{[3]}

## event triggered tracking

This paper investigates the event-triggered tracking control of the nonstrict-feedback nonlinear system with the time-varying disturbances.^{[1]}The problem of fuzzy-based adaptive event-triggered tracking control is investigated for a class of non-strict-feedback nonlinear systems within fixed-time interval in this paper.

^{[2]}

## neural tracking control

This paper investigates the adaptive neural tracking control of the strict-feedback nonlinear systems, where the states are measured in an event-triggered manner so as to save the communication resources.^{[1]}

## adaptive fuzzy control

This article addresses an adaptive fuzzy control for the nonstrict-feedback nonlinear systems with asymmetric time-varying full state constraints.^{[1]}

## finite time control

In this article, an event-triggered robust fuzzy adaptive prescribed performance finite-time control strategy is presented for a class of strict-feedback nonlinear systems with external disturbances.^{[1]}

## adaptive tracking control

In this paper, the problem of fixed-time adaptive tracking control for strict-feedback nonlinear systems is studied.^{[1]}

## strict feedback nonlinear system

In this paper, the leaderless consensus control of a group of high-order strict feedback nonlinear systems with uncertainties under sensor and actuator attacks is considered.^{[1]}ABSTRACT This paper studies the problem of finite-time H ∞ control for strict feedback nonlinear systems with external disturbance.

^{[2]}This work investigates a finite-time adaptive fuzzy tracking control problem for a class of nonstrict feedback nonlinear systems from a new point of view.

^{[3]}In order to stabilize multiple-input–multiple-output uncertain strict feedback nonlinear systems with time-varying full-state constraints and external disturbances, an adaptive neural dynamic surface control method is investigated in this paper.

^{[4]}This paper focuses on the design of a reduced adaptive fuzzy tracking controller for a class of high-order stochastic nonstrict feedback nonlinear systems with full-state constraints.

^{[5]}This paper addresses the fixed-time adaptive neural control of nonstrict feedback nonlinear system.

^{[6]}