Stabilization of type-2 fuzzy system in the presence cyber attacks is investigated this article. For a practical application, class nonlinear can be represented by an interval through set membership functions. Unlike existing schemes, 1) affine functions are considered controller design; moreover, 2) robust adaptive event-triggered control proposed to avoid unwanted triggering events, which makes scheme more reliable and relaxes conservativeness stability analysis.In numerical simulation,...

Online monitoring of external torque/force is receiving much attention with the increasing demand in industries, where robot manipulators are required to cooperate humans, assemble product parts or perform certain tasks that involve interaction fragile objects. Estimation torque when manipulator interacts environment investigated this article. A higher order sliding-mode-based observer designed estimate online against nonlinear friction. Moreover, a Luenberger stabilize general momenta error...

In this article, an iterative cost-learning model predictive control (ICLMPC) is proposed for nonlinear networked systems (NCSs) in the presence of aperiodic sampling. The ICLMPC useful not only to guarantee asymptotic stability closed-loop system with sampling but also improve performance case performing task. method, NCSs mathematically represented as sampled-data Takagi–Sugeno (T–S) fuzzy system. Based on representation, design formulated terms a finite-horizon optimal problem which new...

This article concentrates on the sampled-data control problem by utilizing a novel mismatch parameter-dependent stabilization method for Takagi–Sugeno (T-S) fuzzy system. First, taking information sampled-parameter and weighted function into account, sampled-parameter-dependent Lyapunov is proposed. Furthermore, an affine matched controller designed to contain transformed membership function, thereby achieving larger stabilizable regions. Based parameterized matrices bounding technique,...

Abstract In this paper, we propose a new sampled‐data stabilization method for linear parameter‐varying (LPV) systems with asynchronous parameter sampling. A sampled‐parameter‐dependent controller is designed by considering the sampling of parameters as well that states. Based on newly proposed looped‐functional (SPDLF), relaxed matrix inequality (LMI) condition in parameterized criteria derived deviation bound between continuous‐time plant and sampled parameter. Finally, numerical examples...

This paper presents a state estimator design method using multi-rate sampled-data for autonomous vehicle driving system. The proposed is designed by an affine matched T-S fuzzy model with the sampling information of each sensors. For tracking control system fusion sensors, overall structure error dynamic based estimator. verified experimental results on Husky unmanned ground (UGV) equipped light detection and ranging (LiDAR), camera encoder.

In this paper, we propose a constrained H∞ controller design method for the active suspension systems (ASS) with aperiodic sampling. The ASS are controlled by hydraulic actuator which is usually limited physical constraints. To utilize information of saturation level, express as linear parameter varying (LPV) system adopting time-varying parameters depend on input. For implementation digital controllers, consider sampled-data H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

This brief addresses the problem of sliding mode control for Discrete-time Linear Parameter Varying (DTLPV) systems. In DTLPV system, a plant includes time-varying parameter that is measurable and bounded in magnitude. By utilizing information parameter, transformed parameter-dependent controller (TPDSMC) firstly proposed. The obtained by scaling biasing plant. To design TPDSMC, sufficient condition derived using approach. designed not only reduces effect disturbance but also provides better...

This paper investigates the multi-rate sampled-data synchronization problem for recurrent reural networks with multi-GPUs which have each different variable sampling rate. To handle multi-GPU system multi-sampling rate, sychronization error is expressed as a summation of feedback subsystems intervals. For controller design, Lyapunov functions looped are constructed to use information sampling, and modified free-matrix inequality exploited estimate tighter upper bound intergral term. Finally,...

본 논문에서는 주파수 선택적 채널을 겪는 다중 입출력 시스템에서 채널의 선택도에 따른 블록 방식 시간 영역 등화기의 오류 성능 변화에 대해 살펴본다. 선형 등화기 및 비선형 판정 궤환 두 가지 형태의 등화기를 고려하였다. 각 등화기들의 변화를 모의실험을 통해 분석하였으며, 이 때 선택도는 채널 탭 수를 정의하였다. 모의실험 결과 모두 수 증가에 따라 성능이 향상되는 것을 관측하였으며, 특히 이러한 SNR 향상 정도는 등화기에서 보다 명확하게 나타남을 관찰하였다. 이를 하의 선택도가증가할 경우 수신단 복잡도가 늘어나지만 이와 함께 또한 향상될 있음을 확인하였다.

In this paper, we investigate the impacts of frequency selectivity on error performance time-domain equalizers in multiple-input multiple-output (MIMO) systems. Two types are considered: linear and decision-feedback equalizers. Under assumption perfect channel estimation at receiver, both nonlinear is evaluated according to selectivity, i.e., number taps, by numerical simulations. The simulation results show that achieve improvements as taps increases. Therefore, MIMO systems under...

Synchronization between neural networks (NNs) has been intensively investigated to analyze stability, convergence properties, neuronal behaviors and response various inputs. However, synchronization techniques of NNs with gated recurrent units (GRUs) have not provided until now due their complicated nonlinearity. In this paper, we address the sampled-data problems GRUs for first time, propose a controller design method using discretely sampled control inputs synchronize master slave GRUs....

In this paper, the event-triggered controller design method for synchronization of chaotic neural networks (CNNs) is proposed by using clock-dependent Lyapunov functionals (CLF). The aim study to propose criterion which synchronizes two identical CNNs sum squares (SOS) programs. based on mechanism (ETM) derived CLF a polynomial with respect piecewise-continuous delay defined as clock. condition formulated SOS programs obtain feasible solutions. effectiveness verified via numerical simulation CNN.