Fuzzy adaptive quantized output feedback tracking control for switched nonlinear systems with input quantization

Sui, Shuai; Tong, Shaocheng

doi:10.1016/j.fss.2015.07.012

Cited by 112 publications

(61 citation statements)

References 45 publications

(125 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Switched systems as a class of hybrid systems consist of a number of subsystems that orchestrated by a switching rule to determine which subsystem is active at each time instant . Due to their numerous applications in a wide range of control systems such as chemical process, near space vehicle, human muscular control systems, and networked control systems, considerable attention has been attracted to control and stabilization of these systems …”

Section: Introductionmentioning

confidence: 99%

“…In the last decade, by applying the backstepping‐based approaches, several adaptive control methods have been proposed for pure‐ and strict‐feedback switched nonlinear systems with delay and without delay . In other works, dynamic surface control (DSC) procedure has been utilized to overcome the “explosion of complexity” due to repetitive differentiation of virtual controller in each step of the backstepping approach.…”

Section: Introductionmentioning

confidence: 99%

“…A switched version of linear state observer has been introduced in the works of Li and Tong and Niu et al to estimate the states of switched nonlinear systems. Later, a switched fuzzy state observer was addressed for switched systems with strict‐feedback structure in other works . In the works of Tong et al and Huang et al, switched fuzzy observer was extended to the nonstrict one.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prescribed performance adaptive neural output control for a class of switched nonstrict‐feedback nonlinear time‐delay systems: State‐dependent switching law approach

Kamali

Tabatabaei

Arefi

et al. 2019

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

Summary This paper investigates the tracking problem for a class of uncertain switched nonlinear delayed systems with nonstrict‐feedback form. To address this problem, by introducing a new common Lyapunov function (CLF), an adaptive neural network dynamic surface control is proposed. The state‐dependent switching rule is designed to orchestrate which subsystem is active at each time instance. In order to compensate unknown delay terms, an appropriate Lyapunov‐Krasovskii functional is considered in the constructing of the CLF. In addition, a novel switched neural network–based observer is constructed to estimate system states through the output signal. To maintain the tracking error performance within a predefined bound, a prescribed performance bound approach is employed. It is proved that by the proposed output‐feedback control, all the signals of the closed‐loop system are bounded under the switching law. Moreover, the transient and steady‐state tracking performance is guaranteed by the prescribed performance bound. Finally, the effectiveness of the proposed method is illustrated by two numerical and practical examples.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prescribed performance adaptive neural output control for a class of switched nonstrict‐feedback nonlinear time‐delay systems: State‐dependent switching law approach

Kamali

Tabatabaei

Arefi

et al. 2019

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…However, there are a few works to discuss the problem of quantized control for switched nonlinear systems. Taking into account the switching behavior and hysteretic quantized input, Sui and Tong focused on the adaptive fuzzy quantized output feedback control for a class of uncertain switched strict‐feedback nonlinear systems. Nevertheless, Sui and Tong did not consider the time‐delay case.…”

Section: Introductionmentioning

confidence: 99%

Adaptive quantized tracking control for uncertain switched nonstrict‐feedback nonlinear systems with discrete and distributed time‐varying delays

Dong

et al. 2017

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

Summary This paper is concerned with an adaptive tracking problem for a more general class of switched nonstrict‐feedback nonlinear time‐delay systems in the presence of quantized input. The system structure in a nonstrict‐feedback form, the discrete and distributed time‐varying delays, the sector‐bounded quantized input, and arbitrary switching behavior are involved in the considered systems. In particular, to overcome the difficulties from the distributed time‐varying delays and the sector‐bounded quantized input, the mean‐value theorem for integrals and some special techniques are exploited respectively. Moreover, by combining the Lyapunov‐Razumikhin method, dynamic surface control technique, fuzzy logic systems approximation, and variable separation technique, a quadratic common Lyapunov function is easily built for all subsystems and a common adaptive quantized control scheme containing only 1 adaptive parameter is proposed. It is shown that the tracking error converges to an adjustable neighborhood of the origin whereas all signals of the closed‐loop systems are semiglobally uniformly ultimately bounded. Finally, 2 simulation examples are provided to verify the feasibility and effectiveness of the proposed design methodology.

show abstract

“…Then, Long and Zhao investigated the switched control problems for a class of switched nonlinear systems based on the common Lyapunov function. Long and Zhao and Sui et al() proposed 3 adaptive intelligent (fuzzy or neural) control approaches for a class of switched nonlinear systems combined with the average dwell‐time technique. The aforementioned adaptive intelligent (fuzzy or neural) control design strategies have already been forming an effective theory to control those nonlinear systems without satisfying the matching condition.…”

Section: Introductionmentioning

confidence: 99%

Adaptive‐dynamic‐programming‐based fuzzy control for triangular structure nonlinear uncertain systems with unknown time delay

Sui

Tong

Sun

2017

Optim Control Appl Methods

Self Cite

View full text Add to dashboard Cite

Summary This paper develops a novel fuzzy adaptive backstepping dynamic surface control scheme for a class of strict‐feedback nonlinear systems with unknown time delay based on adaptive dynamic programming. The whole control scheme is composed of 2 parts, ie, feedforward control and feedback optimal control. Fuzzy logic systems are used to identify nonlinear systems. The control design method, which combined the backstepping design technique and the dynamic surface control approach, is applied to convert triangular structure systems to affine nonlinear systems; it not only can solve the problem of “explosion of complexity” but also can avoid the appearance of unknown terms. The closed‐loop system is guaranteed to be uniformly ultimately bounded based on the Lyapunov and optimal control theory, and the system output can track the desired reference signal in an optimal manner. The simulation results of numerical examples are presented to show the effectiveness of the proposed approach.

show abstract

Fuzzy adaptive quantized output feedback tracking control for switched nonlinear systems with input quantization

Cited by 112 publications

References 45 publications

Prescribed performance adaptive neural output control for a class of switched nonstrict‐feedback nonlinear time‐delay systems: State‐dependent switching law approach

Prescribed performance adaptive neural output control for a class of switched nonstrict‐feedback nonlinear time‐delay systems: State‐dependent switching law approach

Adaptive quantized tracking control for uncertain switched nonstrict‐feedback nonlinear systems with discrete and distributed time‐varying delays

Adaptive‐dynamic‐programming‐based fuzzy control for triangular structure nonlinear uncertain systems with unknown time delay

Contact Info

Product

Resources

About