Robust Adaptive Sliding Mode Observer Design for T-S Fuzzy Descriptor Systems With Time-Varying Delay

Zhang, Qingling; Li, Rongchang; Ren, Junchao

doi:10.1109/access.2018.2865618

Cited by 28 publications

(30 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Remark 4 (See the work of Feng and Shi 44 ). Consider the equality constraint condition XE T = EX T ≥ 0, which may result in numerical difficulties in solving (33). Therefore, X is replaced by r) ,P > 0, and Ψ is nonsingular matrix.…”

Section: Integral-type Switching Surfacementioning

confidence: 99%

“…Descriptor systems have been extensively employed to power systems, economic systems, and circuits systems. Many outstanding research results have been published, such as descriptor time‐delay systems, descriptor uncertain systems, and descriptor stochastic systems . However, there are barely reports involving event‐triggered transmission for networked descriptor systems despite their respectively noteworthy advantages.…”

Section: Introductionmentioning

confidence: 99%

“…Many outstanding research results have been published, such as descriptor time-delay systems, descriptor uncertain systems, and descriptor stochastic systems. [31][32][33][34] However, there are barely reports involving event-triggered transmission for networked descriptor systems despite their respectively noteworthy advantages. In the work of Wang et al, 35 an event-triggered H ∞ control for networked descriptor system is considered.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Network‐based integral sliding mode control for descriptor systems with event‐triggered sampling scheme

Wang

Zhang

Ren

et al. 2019

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

Summary This paper investigates event‐triggered sliding mode control for descriptor systems subject to networked‐induced delay. For handling disturbance and saving data transmission in networks for descriptor systems, sliding model control and event‐triggered control are combined, whereas how to combine them to design a stable controller is challenging due to the complexity of descriptor systems. Firstly, a new discrete event‐triggered scheme is introduced for deciding whether sampled data is sent out or not for networked‐based descriptor systems. Secondly, integral‐type switching surface and event‐triggered scheme are integrated resulting in a novel time‐delay system. The existence condition of integral‐type switching surface and the stability condition of the sliding mode dynamic are presented. An event‐triggered sliding mode controller is derived for driving the closed‐loop system trajectories to the practical switching surface in finite time. Finally, two examples are employed to show the effectiveness and advantages of the proposed method.

show abstract

Section: Integral-type Switching Surfacementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Network‐based integral sliding mode control for descriptor systems with event‐triggered sampling scheme

Wang

Zhang

Ren

et al. 2019

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

show abstract

“…A fuzzy state/disturbance observer for integral sliding mode control was designed in [22]. An adaptive sliding-mode observer design was introduced in [23]. Wang et al presented a fuzzy observer for estimating the vehicle roll angle and roll rate [24].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Finite Memory State Estimation for Electro-Hydraulic Active Suspension Systems

Choi

You

2021

IEEE Access

View full text Add to dashboard Cite

This paper presents a novel nonlinear estimator called the fuzzy finite memory (FFM) state estimator for electro-hydraulic active suspension systems, based on fuzzy techniques and finite impulse response. The Takagi-Sugeno fuzzy model is introduced to effectively describe highly nonlinear suspension systems with electro-hydraulic actuator dynamics. Compared with the conventional state estimator, which has an infinite memory structure and requires whole data from the initial to current time, the proposed fuzzy state estimator with a finite memory structure guarantees robustness against external disturbances and modeling uncertainty. The simulation results verify that the developed fuzzy finite memory state estimator is more robust under external disturbances and modeling uncertainties than the existing infinite impulse response nonlinear estimator.

show abstract

“…Besides, the time-varying delay mostly emerges in many practical control systems and it may result in poor control performance even deteriorate system stability. [38][39][40] Although the SMCs for time-varying delay systems have been investigated in some existing literatures, 24,[41][42][43][44][45][46][47] however, some considerable issues are still not be fully investigated: (1) when the time-varying delay and low-intensity process disturbance are simultaneously involved in the system, the chattering of SMC is difficult to be completely excluded because the system state still varies even it has been driven to the sliding surface; (2) if the process disturbance has a high intensity, how does further reducing the state variation guarantee the system stability? For overcoming the above difficulties, the key point is to establish a direct relationship between the SMC law and the process disturbance.…”

mentioning

confidence: 99%

Chattering‐free adaptive sliding mode control for continuous‐time systems with time‐varying delay and process disturbance

Cui

2019

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

This paper concerns the controller design for continuous-time linear systems with time-varying delay and process disturbance. A novel adaptive sliding mode control law is mainly proposed to attract the sliding mode to first-order sliding surface within a finite time; afterwards, the uniformly ultimately bounded stability of the closed-loop system on the sliding surface is simultaneously guaranteed. In addition, the chattering phenomena can be conveniently excluded if the disturbance is a low-intensity process. Once the high-intensity disturbance is involved, the state variation can be significantly reduced as well. Furthermore, by the technique of a novel exponential free-matrix technique, the convergence rate of the closed-loop system can be conveniently preregulated. Numerical example is provided to demonstrate the effectiveness of the proposed method. KEYWORDSadaptive sliding mode control, chattering free, process disturbance, time-varying delay, uniformly ultimately bounded stable INTRODUCTIONMany real-world applications are difficult to be accurately described by the mathematical models because their full-scale intrinsic and extrinsic dynamics are usually hard or even barely impossible to be acquired. The practical systems usually contain some unclear system variations including mismatches between idealized model with the reality, unmodeled system dynamic, unknown operating mechanism, etc. If these system variations are completely neglected, the system control performances will be deteriorated; moreover, the system stability may be threatened. For describing the unknown and unmeasurable variations, the process disturbances are usually employed in the system dynamic models. [1][2][3][4][5] Although the detailed origination and transmutation dynamics of process disturbances still remain unrevealed, some statistical models are successful to describe their macroscopically principles. For example, the disturbances are regarded as the stochastic distributions, 6,7 the energy-bounded processes, 8-11 the peak-bounded procedures, 12-14 etc. For alleviating the negative impacts of the process disturbances, many robust control schemes are gradually proposed in the past decades. [15][16][17][18][19][20] One of the successful robust control scheme is called the sliding mode control (SMC), also known as the variable structure control, which received intensive attentions due to its prominent features such as convenient to be performed, easy implementation, insensitivity to dynamic switching of system modes, reduction of the order of system state, and especially the robustness in the presence of external disturbances. [21][22][23][24] Int J Robust Nonlinear Control. 2019;29:3389-3404.wileyonlinelibrary.com/journal/rnc

show abstract

Robust Adaptive Sliding Mode Observer Design for T-S Fuzzy Descriptor Systems With Time-Varying Delay

Cited by 28 publications

References 47 publications

Network‐based integral sliding mode control for descriptor systems with event‐triggered sampling scheme

Network‐based integral sliding mode control for descriptor systems with event‐triggered sampling scheme

Fuzzy Finite Memory State Estimation for Electro-Hydraulic Active Suspension Systems

Chattering‐free adaptive sliding mode control for continuous‐time systems with time‐varying delay and process disturbance

Contact Info

Product

Resources

About