Results 71 to 80 of about 32,239 (247)

High Order Sliding Mode Backstepping Control for a Class of Unknown Pure Feedback Nonlinear Systems

IEEE Access, 2020
This paper aims at addressing the problem of finite time exact tracking control for a class of unknown nonlinear systems in pure feedback form while guaranteeing the closed-loop stability.
Ye Liu, Pengju Yang, Le Cao, Yuanyuan Li, Raofen Wang, Xiaoming Sun   +5 more
doaj   +1 more source

Backstepping Control of the One-Phase Stefan Problem

, 2016
In this paper, a backstepping control of the one-phase Stefan Problem, which is a 1-D diffusion Partial Differential Equation (PDE) defined on a time varying spatial domain described by an ordinary differential equation (ODE), is studied. A new nonlinear
Diagne, Mamadou, Koga, Shumon, Krstic, Miroslav, Tang, Shuxia   +3 more
core   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li, Kaibo Shi, Yue Yu, Xiangkun Wang, Ming Zhu, Xiao Cai   +5 more
wiley   +1 more source

Finite-Time Autonomous Vehicle Path Tracking Control Based on State Constraint

IEEE Access
A finite-time path tracking control scheme with state constraint is proposed for the autonomous vehicle path tracking control problem affected by compound disturbance and unmeasurable variables.
Pengxiang Li, Sucai Zhang, Yan Liu
doaj   +1 more source

Fixed-TimeBackstepping Control of Quadrotor Trajectory Tracking Based On Neural Network

IEEE Access, 2020
This paper aims at the trajectory tracking of a quadrotor. A novel fixed-time backstepping control design scheme is proposed for the quadrotor based on adaptive neural control approach.
Mingyu Wang, Bing Chen, Chong Lin
doaj   +1 more source

TD3 Deep Reinforcement Learning Control Approach for a DC‐DC Multiport Converter Used in Low‐Power EV Applications

IET Smart Energy Systems, EarlyView.
A TD3‐based deep reinforcement learning controller is developed for a multiport converter in low‐power EV applications. The data‐driven, model‐free strategy improves dynamic performance under constant power load destabilisations and demonstrates advanced intelligent control suited for next‐generation smart and integrated energy systems.
Amirhossein Hosseini, Saeed Hosseinnataj, Ali Arzani   +2 more
wiley   +1 more source

Flow‐pattern evolution of the Scandinavian Ice Sheet indicated by the subglacial lineation record over Norway, Sweden and Finland

Boreas, EarlyView.
We present a 25‐stage reconstruction of the ice‐flow pattern evolution of the Scandinavian Ice Sheet based on mapping and analysis of ~240 000 subglacial lineations and lineation fields across Norway, Sweden, Finland, and parts of NW Russia. Our reconstruction uses a glacial geomorphological inversion approach, in which we generated 611 individual ...
Frances E. G. Butcher, Anna L. C. Hughes, Helen E. Dulfer, Christopher D. Clark, Jeremy C. Ely, Emma L. M. Lewington, Benjamin M. Boyes, Alex C. Scoffield, Stephen Howcutt, Christiaan R. Diemont   +9 more
wiley   +1 more source

Comparative Study of Methods for Robot Control with Flexible Joints

Actuators
Robots with flexible joints are gaining importance in areas such as collaborative robots (cobots), exoskeletons, and prostheses. They are meant to directly interact with humans, and the emphasis in their construction is not on precision but rather on ...
Ranko Zotovic-Stanisic, Rodrigo Perez-Ubeda, Angel Perles   +2 more
doaj   +1 more source

Nonlinear Improved Concise Backstepping Control of Course Keeping for Ships

IEEE Access, 2019
The backstepping control is a kind of nonlinear controller design algorithm. To simplify the nonlinear controller design process, decrease the number of undetermined parameters, improve the robustness, and reduce the energy consumption of the course ...
Qiang Zhang, Xianku Zhang
doaj   +1 more source

A review of the supercritical state of eruption‐fed volcanic density currents in subaerial and subaqueous settings

Sedimentology, EarlyView.
ABSTRACT Subaerial Pyroclastic Density Currents (PDCs) and Subaqueous Eruption‐Fed Density Currents (SEFDCs) produced during volcanic eruptions can present major hazards to surrounding communities and ecosystems. The bedforms deposited by these volcanic density currents can provide insights into the nature of transport and depositional processes, which
Shannon E. Frey, Martin Jutzeler, Rebecca J. Carey   +2 more
wiley   +1 more source