Decentralized Output Feedback Adaptive NN Tracking Control for Time-Delay Stochastic Nonlinear Systems With Prescribed Performance

Chen, Hua; Zhang, Liuliu; Guan, Xinping

doi:10.1109/tnnls.2015.2392946

Cited by 119 publications

(46 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is obvious that the resulting simple adaptive robust output tracking control schemes can be easily implemented in most practical engineering control problems. Moreover, by combining the proposed self-tuning design approach with other control methods, be it sliding mode control, fuzzy control, H 1 control, neural networks approximation, backstepping algorithm, finite-time control [21], the prescribed performance control [22], and so on, one may expect to obtain a number of interesting results for a rather large class of uncertain nonlinear dynamical systems, such as uncertain time-delay systems, large scale systems, switched systems and stochastic systems, with dead-zone in the actuators.…”

Section: Discussionmentioning

confidence: 99%

Robust output tracking of uncertain nonlinear systems with completely unknown dead‐zone input: A self‐tuning design approach

2016

Adaptive Control & Signal

View full text Add to dashboard Cite

The main purpose of this paper is to propose a direct and simple approach, called a self-tuning design approach, to dealing with any nonsymmetric dead-zone input nonlinearity where its information is completely unknown. In order to describe the approach, the output tracking problem is considered for a class of uncertain nonlinear systems with any nonsymmetric dead-zone input. First, a dead-zone input is represented as a time-varying input-dependent function such that the considered dynamical system with dead-zone input can be transfered into an uncertain nonlinear dynamical system subject to a linear input with time-varying input coefficient. Then, by making use of the self-tuning design approach, a class of adaptive robust output tracking control schemes with a rather simple structure is synthesized. Thus, the proposed direct and simple self-tuning design approach can be easily understood by the engineering designers, and the resulting simple adaptive robust control schemes can be well implemented in most practical engineering control problems. By combining the proposed self-tuning design approach with other control methods, one may expect to obtain a number of interesting results for a rather large class of uncertain nonlinear dynamical systems with dead-zone in the actuators. Finally,the simulations of some numerical examples are provided to demonstrate the validity of the theoretical results.

show abstract

Section: Discussionmentioning

confidence: 99%

Robust output tracking of uncertain nonlinear systems with completely unknown dead‐zone input: A self‐tuning design approach

2016

Adaptive Control & Signal

View full text Add to dashboard Cite

show abstract

“…It should be mentioned that if for t 2 OE0; C1/ the Markovian jump signal Á t D k, then the system (1) represents a class of non-jump strict-feedback nonlinear large-scale systems, which is investigated commonly in literature, such as [2][3][4][5][6][7][8][9][10][11][12][13]. In addition, note that, we address the actuator saturation restrictions while authors in [2][3][4][5][6][7] did not take this practical issue into account, and we study the prescribed performance control while authors in [8][9][10][11][12][13] did not consider the problem.…”

Section: Remarkmentioning

confidence: 99%

“…Therefore, the prescribed performance control problem has been widely studied for various nonlinear systems in related literatures, such as [2][3][4][5][6][7] for the interconnected large-scale nonlinear systems, [27][28][29][30][31][32] for the SISO nonlinear systems, and [33] for MIMO nonlinear systems. Therefore, the prescribed performance control problem has been widely studied for various nonlinear systems in related literatures, such as [2][3][4][5][6][7] for the interconnected large-scale nonlinear systems, [27][28][29][30][31][32] for the SISO nonlinear systems, and [33] for MIMO nonlinear systems.…”

Section: Remarkmentioning

confidence: 99%

“…For instance, using prescribed performance control (PPC) to restrict the output performance, the decentralized output feedback control problem of interconnected time-delay systems was studied in [2][3][4]. For instance, using prescribed performance control (PPC) to restrict the output performance, the decentralized output feedback control problem of interconnected time-delay systems was studied in [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Decentralized prescribed performance adaptive tracking control for Markovian jump uncertain nonlinear systems with input saturation

Chang

Fang

Liu

et al. 2016

Adaptive Control & Signal

View full text Add to dashboard Cite

A decentralized prescribed performance adaptive tracking control problem is investigated for Markovian jump uncertain nonlinear interconnected large-scale systems. The considered interconnected large-scale systems contain unknown nonlinear uncertainties, unknown control gains, actuator saturation, and Markovian jump signals, and the Markovian jump subsystems are in the form of triangular structure. First, by defining a novel state transformation with the performance function, the prescribed performance control problem is transformed to stabilization problem. Then, introducing an intermediate control signal into the control design, employing neural network to approximate the unknown composite nonlinear function, and based on the framework of the backstepping control design and adaptive estimation method, a corresponding decentralized prescribed performance adaptive tracking controller is designed. It is proved that all the signals in the closed-loop system are bounded, and the prescribed tracking performances are guaranteed. A numerical example is provided to illustrate the effectiveness of the proposed control strategy. 256 R. CHANG ET AL. constraint and recurrent fuzzy neural networks were used to achieve a prescribed tracking performance for a strict-feedback nonlinear dynamic system, the decentralized adaptive recurrent fuzzy neural networks control scheme was proposed in [6]. Based on the backstepping recursive design technique and the prescribed performance technique, a new adaptive fuzzy output-feedback control method was developed for a class of nonlinear large-scale systems, such that the tracking errors converged to an adjustable neighborhood of the origin with the prescribed performance bounds [7].For the interconnected large-scale systems, actuator saturation can lead to a cascading effect, and then, it may result in overall system collapse. An example of a cascading effect caused by actuator saturation is the 3 August 1996 blackout in Malaysia [8]. In recent years, some results on the decentralized control problem under actuator saturation have been reported. For example, a novel decentralized adaptive neural control scheme was proposed for a class of interconnected large-scale uncertain nonlinear time-delay systems with input saturation [9]. The decentralized H 1 controller was designed for a multi-zone space heating system, which is an interconnected dynamical system subject to external disturbances and input saturation [10]. Two decentralized sliding mode control laws were proposed and analyzed for spacecraft attitude synchronization under actuator failures, and the results could be extended to the case with control input saturation in the second controller [11]. The decentralized adaptive neural control was studied for a class of interconnected nonlinear systems with input saturation in [12,13].However, the aforementioned decentralized control methods in [2][3][4][5][6][7][8][9][10][11][12][13] are for non-switched nonlinear interconnected large-scale systems; therefore, they cannot be used to dea...

show abstract

“…As a remedy, a prescribed performance control approach was established in Bechlioulis and Rovithakis (2008). This approach has been further extended to various uncertain nonlinear systems (Bechlioulis & Rovithakis, 2009Hua et al, 2014;Hua, Zhang, & Guan, 2015;Theodorakopoulos & Rovithakis, 2015;Tong, Sui, & Li, 2015b). Recently, FTC research results for strict-feedback nonlinear systems have appeared in conjunction with the prescribed performance technique (Wang & Wen, 2010;Yoo, 2013;Zhai, An, Li, & Zhang, 2015).…”

Section: Introductionmentioning

confidence: 99%

Robust fault-tolerant prescribed performance tracking for uncertain switched pure-feedback nonlinear systems under arbitrary switching

Lee

Yoo

2016

International Journal of Systems Science

View full text Add to dashboard Cite

This paper presents a model-free prescribed performance design methodology for the robust fault-tolerant tracking (RFTT) of uncertain switched pure-feedback nonlinear systems under arbitrary switching. Unexpected faults in switched non-affine nonlinearities and in an actuator are considered. Using the prescribed performance design and the common Lyapunov function method, a common RFTT scheme is proposed to ensure that the tracking error remains within preassigned performance bounds and finally converges to a preselected neighbourhood of the origin, regardless of arbitrary switching and unexpected faults. Contrary to existing results in the literature, the proposed methodology does not require fault compensation mechanisms such as adaptive techniques and function approximators using neural networks or fuzzy systems. Thus, the structure of the proposed RFTT scheme is simpler than that of the existing control schemes. Moreover, the proposed approach can predesign the transient performance bounds at the instants when switching and faults occur. Finally, the simulation results are provided to demonstrate the effectiveness of the proposed theoretical approach.

show abstract

Decentralized Output Feedback Adaptive NN Tracking Control for Time-Delay Stochastic Nonlinear Systems With Prescribed Performance

Cited by 119 publications

References 36 publications

Robust output tracking of uncertain nonlinear systems with completely unknown dead‐zone input: A self‐tuning design approach

Robust output tracking of uncertain nonlinear systems with completely unknown dead‐zone input: A self‐tuning design approach

Decentralized prescribed performance adaptive tracking control for Markovian jump uncertain nonlinear systems with input saturation

Robust fault-tolerant prescribed performance tracking for uncertain switched pure-feedback nonlinear systems under arbitrary switching

Contact Info

Product

Resources

About