Health monitoring and early fault detection of wind turbines have attracted considerable attention due to the benefits improving reliability reducing operation maintenance costs turbine. However, dynamic constantly changing operating conditions still pose great challenges effective reliable detection. Most existing health approaches mainly focus on one single condition, so these methods cannot assess status accurately, leading unsatisfactory performance. To this end, paper proposes a novel...

Introduction The development of digital health technologies has had a positive impact on the management comorbidity in elderly. At same time, it also sets certain requirements for literacy older adults. To effectively implement interventions that improve among adults with multimorbidity, is essential to involve patients decision-making processes and develop align their preferences. Methods analysis This study will use Discrete choice experiment investigate needs preferences multimorbidity...

Sensor fault detection of wind turbines plays an important role in improving the reliability and stable operation turbines. The supervisory control data acquisition (SCADA) system a turbine provides promising insights into sensor due to accessibility abundance information. However, SCADA are essentially multivariate time series with inherent spatio-temporal correlation characteristics, which has not been well considered existing research. This paper proposes novel classification-based method...

Aiming at the problem of fixed‐time trajectory tracking control for high‐order dynamic systems with external time‐varying disturbance and input dead‐zone, an adaptive sliding mode algorithm is proposed by employing a observer (FTSMDO) algorithm. Firstly, FTSMDO presented that estimating compound composed dead‐zone in higher‐order system, which cannot be measured accurately. Furthermore, case total system has unknown upper bound, corresponding law designed to estimate controller based on make...

This paper addresses the dynamic output feedback control problem for a class of nonlinear multiple time-delays system. First, system is decomposed into two subsystems based on input matrix and matrix. Second, compensator employed first subsystem, then controller designed second subsystem compensator. With new Lyapunov–Krasovskii functional, we show that closed-loop stable make solutions convergent to an adjustable bounded region. Compared with previous works, proposed technique more flexible...

A novel iterative learning control (ILC) algorithm is proposed to produce output curves that pass close the desired trajectory. The key advantage of introducing forgetting factor, which a function number iterations. Due factor characteristic ILC, scheme not only stabilizes nonlinear system with uncertainties but also weakens interference on tracking Simulation examples are included demonstrate feasibility and effectiveness algorithm.

This article proposes a novel method that combines real-time image recognition with choosing target object localization in unknown environment. The position information of the recognized as is provided by laser, which avoids collecting all objects can save computation resource and improve real time. Furthermore, this realizes autonomous back forth navigation environment companies voice prompt intelligent searching object. will set up basis on building complete map. Finally, experiments show...

In this work, we present a new iterative learning control (ILC) scheme for class of non-linear systems with uncertain and non-repetitive disturbances, in order to achieve perfect tracking by proposing high feedback-feedforward ILC algorithm variable forgetting factor. The controller can fully apply the previous data system, which allows system track expectations more rapidly precisely. Introducing factor weaken former output its variance law, while strengthening robustness ILC. Through...

Through studying tracking problems of the wheeled mobile robot, this paper proposed a discrete iterative learning control approach based on PID with strong adaptability, fast convergence, and small error. This algorithm used to filter rejection restrained influence interference noise trajectory tracking, which made it more suitable for engineering application. The PID-type convergence condition certification procedure are presented. results simulation reveal that ILC holds features...

A unique fuzzy self-tuning disturbance decoupling controller (FSDDC) is designed for a serial-parallel hybrid humanoid arm (HHA) to implement the throwing trajectory-tracking mission. Firstly, dynamic model of HHA established and input signal process obtained by studying human's arm. Secondly, FSDDC, incorporating (DDC) logic (FLC), ensure trajectory tracking in presence uncertainties disturbances. With FSDDC method, system can be decoupled actively estimating rejecting effects both internal...

This paper presents a unique ESO-based fuzzy sliding-mode controller (FSMC-ESO) for 3-DOF serial-parallel hybrid humanoid arm (HHA) the trajectory tracking control problem. The dynamic model of HHA is obtained by Lagrange method and nonlinear in dynamics with inertia uncertainty external disturbance. FSMC-ESO based on combination (SMC), extended state observer (ESO) theory, (FC). SMC insensitive to both internal parameter uncertainties disturbances. motivation using ESO estimate disturbance...

We propose an iterative learning control algorithm (ILC) that is developed using a variable forgetting factor to mobile robot. The proposed can be categorized as open-closed-loop control, which produces instructions by both previous and current data. However, introducing weaken the former output its variance in law while strengthening robustness of control. If it applied robot, this will reduce position errors robot trajectory tracking effectively. In work, we show guarantees error bound...

This paper deals with the formation control problem for a group of quadrotor unmanned aerial vehicles (UAVs) through modified dynamic event-triggered protocol. The stability proof state space origin overall closed-loop system is derived from singular perturbation method and Lyapunov theory. An protocol in terms dynamically varying threshold parameter delicately carried out while acquiring satisfactory resource efficiency, Zeno behavior triggering time sequences excluded. Finally, simulations...

"Closure to “A 2D shallow flow model for practical dam-break simulation”." Journal of Hydraulic Research, 50(5), pp. 544–545

We present a method for position control of planar two-links robots with passive rotational last joint. This underactuated mechanical system, which is subject to nonholonomic second-order constraints, are controlled gain desired by the dynamic coupling. objective achieved in absence gravity. Most controllers based on precise or kinematic equations aren't practical because we can't get exact data systems. proposed passivity-based variable structure controller (PBVSC) provide robot robustness...