Results 31 to 40 of about 2,746 (179)
3 sampled-data control of nonlinear systems
, 2006 This chapter provides some of the main ideas resulting from recent developments in sampled-data control of nonlinear systems. We have tried to bring the basic parts of the new developments within the comfortable grasp of graduate students.
Astolfi, Alessandro +2 more
core +1 more source
A novel robust generalized backstepping controlling method for a class of nonlinear systems
Cogent Engineering, 2017 This study is aimed at introducing a new robust control strategy in developed backstepping method designed for a special class of nonlinear systems, which does not require any information on the upper bound of parametric uncertainties.
Malek Ghanavati +4 more
doaj +1 more source
Plug-and-play distributed state estimation for linear systems [PDF]
, 2013 This paper proposes a state estimator for large-scale linear systems described by the interaction of state-coupled subsystems affected by bounded disturbances.
Farina, Marcello +3 more
core +3 more sources
Robust and Adaptive Control of a Soft Continuum Manipulator for Minimally Invasive Surgery
RoboticsThis article investigates the model-based control in configurations space of a soft continuum manipulator for minimally invasive surgery. The main control challenges for these types of systems are the presence of model uncertainties and nonlinearities ...
Liujia Wang, Kaiwen Chen, Enrico Franco
doaj +1 more source
Global Stabilization of Triangular Systems with Time-Delayed Dynamic Input Perturbations
, 2018 A control design approach is developed for a general class of uncertain strict-feedback-like nonlinear systems with dynamic uncertain input nonlinearities with time delays. The system structure considered in this paper includes a nominal uncertain strict-
Khorrami, Farshad +1 more
core +1 more source
Connections Between Adaptive Control and Optimization in Machine Learning
, 2019 This paper demonstrates many immediate connections between adaptive control and optimization methods commonly employed in machine learning. Starting from common output error formulations, similarities in update law modifications are examined. Concepts in
Annaswamy, Anuradha M. +4 more
core +1 more source
, 2005 For a broad class of nonlinear systems, we construct smooth control-Lyapunov functions whose derivatives along the trajectories of the systems can be made negative definite by smooth control laws that are arbitrarily small in norm.
Malisoff, Michael, Mazenc, Frederic
core +4 more sources
Reduction of discrete-time two-channel delayed systems [PDF]
, 2018 In this letter, the reduction method is extended to time-delay systems affected by two mismatched input delays. To this end, the intrinsic feedback structure of the retarded dynamics is exploited to deduce a reduced dynamics which is free of delays ...
Mattioni, Mattia +2 more
core +2 more sources
A decentralized scalable approach to voltage control of DC islanded microgrids [PDF]
, 2015 We propose a new decentralized control scheme for DC Islanded microGrids (ImGs) composed by several Distributed Generation Units (DGUs) with a general interconnection topology. Each local controller regulates to a reference value the voltage of the Point
Ferrari-Trecate, Giancarlo +4 more
core +3 more sources
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen +5 more
wiley +1 more source