The proceedings contain 138 papers. The topics discussed include: hidden semi-Markov model based monitoring algorithm for multimode processes;fuzzy adaptive iterative learningcontrol for consensus of multi-agent syst...
ISBN:
(纸本)9781509054619
The proceedings contain 138 papers. The topics discussed include: hidden semi-Markov model based monitoring algorithm for multimode processes;fuzzy adaptive iterative learningcontrol for consensus of multi-agent systems with imprecise communication topology structure;improving reinforcement learning output feedback control for unknown nonlinear pure feedback system;analysis of iterative learningcontrol of an oscillating system with pure delay;data-driven vs model-driven imitative learning;a novel repetitive iterative learningcontrol for linear discrete-time systems with time-iteration-varying reference;incipient fault detection and variable isolation based on subspace decomposition and distribution dissimilarity analysis;active disturbance rejection generalized predictive control and its application on large time-delay systems;a forecasting method of air conditioning energy consumption based on extreme learning machine algorithm;iterative learningcontrol for a class of singular distributed parameter systems;quantitative relationship in terms of time-delay tolerance of two kinds of extended state observers;a bootstrap based virtual sample generation method for improving the accuracy of modeling complex chemical processes using small datasets;boundary tracking control for MIMO PDE-ODE cascade systems via learningcontrol approach;and sampled-data iterative learningcontrol for nonlinear systems with iteration varying lengths.
The proceedings contain 379 papers. The topics discussed include: a transformer based network in monocular satellite pose estimation;controller dynamic linearization based data-driven adaptive control for a vapor-comp...
ISBN:
(纸本)9798350361674
The proceedings contain 379 papers. The topics discussed include: a transformer based network in monocular satellite pose estimation;controller dynamic linearization based data-driven adaptive control for a vapor-compression refrigeration system;cooperative awareness message generation interval prediction model based on Bayesian optimized long short-term memory neural network;preassigned time prescribed performance tracking control for high-order nonlinear systems with time-varying powers;gaussian reinforcement learning: optimal tracking control for uncertain linear systems;a velocity tracking method for quadruped robot with rhythm controller;model-free predictive control of hydraulic cylinder based on parameter prediction of extreme learning machine;and semi-supervised domain adaptation with feature separation for wind turbine anomaly detection.
The proceedings contain 252 papers. The topics discussed include: trajectory tracking of a quadrotor UAV based on high-order differential feedback control;nonsingular terminal sliding mode control for PMLSM based on d...
ISBN:
(纸本)9781728159225
The proceedings contain 252 papers. The topics discussed include: trajectory tracking of a quadrotor UAV based on high-order differential feedback control;nonsingular terminal sliding mode control for PMLSM based on disturbance observer;iterative learningcontrol algorithm of consensus for discrete-time heterogeneous multi-agent systems with independent topologies;a method for analyzing the state controllability of linear discrete timevarying time-delay systems;state of charge estimation for lithium-ion batteries based on adaptive fractional extended kalman filter;data analysis and practical strategies on opioid crisis;a finite time neural network model for solving time-varying matrix inequality problem;a quality-related fault detection method based on weighted mutual information;and an edge-cloud synergy integrated security decision-making method for industrial cyber-physical systems.
The proceedings contain 243 papers. The topics discussed include: abnormal behavior recognition based on edge feature and 3D convolutional neural network;learning and executing primitive skills based on adaptive contr...
ISBN:
(纸本)9781665496759
The proceedings contain 243 papers. The topics discussed include: abnormal behavior recognition based on edge feature and 3D convolutional neural network;learning and executing primitive skills based on adaptive control;cooperative control for a class of second-order stochastic multi-agent systems with sensor faults;research on non-magnetic temperature control system applied to alkali vapor cells;bearing fault diagnosis research based on empirical mode decomposition and deep learning;multi-scale surface flatness evaluation method based on the idea of two-dimensional convolution;adaptive dynamic surface control for uncertain nonlinear systems with unknown control directions;multi-objective optimal configuration of integrated energy system considering the load transfer;optimal dispatch of integrated natural gas and electricity systems with unit commitment;dual mode predictive control of boost circuit based on state estimation;adaptive neural network control of a marine surface vessel with output constrains;and data- driven process monitoring schemes for industrial processes based on performance degradation prediction.
The proceedings contain 250 papers. The topics discussed include: dual attention message passing model for scene graph generation;feature extraction for controller design by deep auto-encoder neural network and least ...
ISBN:
(纸本)9781728114545
The proceedings contain 250 papers. The topics discussed include: dual attention message passing model for scene graph generation;feature extraction for controller design by deep auto-encoder neural network and least squares policy iteration;datadrivencontrol for a class of nonlinear SISO systems with uniform quantizer using encoding and decoding mechanism;content based image retrieval via sparse representation and feature fusion;active disturbance rejection control of ship course based on deep belief network;remaining useful life prediction of lithium-ion battery based on unscented kalman filter and back propagation neural network;and multiple fault diagnosis for sucker rod pumping systems based on matter element analysis with F-statistics.
The proceedings contain 269 papers. The topics discussed include: grasping detection based on YOLOv3 algorithm;face verification technology based on FaceNet similarity recognition network;internal reconstruction gradi...
ISBN:
(纸本)9781665424233
The proceedings contain 269 papers. The topics discussed include: grasping detection based on YOLOv3 algorithm;face verification technology based on FaceNet similarity recognition network;internal reconstruction gradient blind estimation method for Hammerstien-like system;analysis on the impacting factors of hand, foot and mouth disease incidence using random forest;time delayed feedback control for a class of hyper-chaotic systems;transfer learning based rolling bearing fault diagnosis;the analysis of COVID-19 transmission on diamond princess cruise ship;functional interval observer for discrete-time switched system under stealthy attacks;and a soft-sensor model for NOx concentration based on Enet-GPR.
The proceedings contain 347 papers. The topics discussed include: fault estimation for nonlinear systems with time delay based on iterative learning scheme;a variational Bayesian dictionary learning for process monito...
ISBN:
(纸本)9798350321050
The proceedings contain 347 papers. The topics discussed include: fault estimation for nonlinear systems with time delay based on iterative learning scheme;a variational Bayesian dictionary learning for process monitoring;tuning method for parameters in fractional-order PID controllers based on neural networks with improved Borges derivative;distributed online convex optimization with adaptive event-triggered scheme;water supply network optimization based on improved sparrow search algorithm;time series generator adversarial network with stochastic process for the degradation generation and prediction;trajectory tracking by an adaptive controller for high-speed train based on neural network and sliding mode control;graph context target attention graph neural network for session-based recommendation;novel virtual sample generation using Gibbs sampling integrated with GRNN for handling small data in soft sensing;Hammerstein system identification using robust estimator based on quantized observation;group consensus for second-order linear multi-agent systems with intermittent control;a new deep learning-based food recognition system for mobile terminal;and study on genetic algorithm optimization of ultrasonic echo peak value thickness measurement algorithm.
The proceedings contain 221 papers. The topics discussed include: a novel feature weighted twin-hypersphere support vector machine for pattern recognition;an EMD-RF based short-term wind power forecasting method;feedb...
ISBN:
(纸本)9781538626184
The proceedings contain 221 papers. The topics discussed include: a novel feature weighted twin-hypersphere support vector machine for pattern recognition;an EMD-RF based short-term wind power forecasting method;feedback-aided PID-type iterative learningcontrol against initial state error;quantum noise protection via weak measurement for quantum mixed states;a K-shell improved method for the importance of complex network nodes;moving object real-time detection and tracking method based on improved Gaussian mixture model;multi-objective optimization for thermal power plant operation based on improved working condition;and motor imagery ECoG signal classification using sparse representation with elastic net constraint.
As hydraulic Euler-Lagrange systems evolve to encompass high-dimension and intricate structures, the formulation of the mechanical dynamics model becomes impractical, even though the hydraulic dynamic information rema...
详细信息
As hydraulic Euler-Lagrange systems evolve to encompass high-dimension and intricate structures, the formulation of the mechanical dynamics model becomes impractical, even though the hydraulic dynamic information remains accessible. In this article, we make the first attempt to establish model-data hybrid drivencontroller for hydraulic Euler-Lagrange systems. The proposed strategy commences with the formulation of model-based nonlinear robust controller, followed by the introduction of actor-critic reinforcement learning to effectively tackle uncertainties associated with unknown mechanical dynamics. Employing Lyapunov analysis, we have proven the asymptotic stability of the model-based nonlinear robust controller, along with the convergence and (sub)optimality of the introduced actor-critic reinforcement learning. Building upon this foundation, the newly devised hybrid-drivencontroller still guarantees asymptotic stability through the reconstruction of the error auxiliary function. We validated the efficacy of the proposed strategy on a well-established six-degree-of-freedom hydraulic manipulator and conducted a comparative analysis with the purely data-driven approach to demonstrate the superior performance of the developed controller. The integration of model-based and data-driven terms in our strategy signifies notable advancements in the control paradigm for hydraulic Euler-Lagrange systems, and the conceptual control framework also holds the potential to address control challenges within diverse and intricate industrial systems.
This article aims to study event-triggered data-drivencontrol of nonlinear systems via Q-learning. An input-output mapping is described by a pseudo-partial derivatives form. A Q-learning-based optimization criterion ...
详细信息
This article aims to study event-triggered data-drivencontrol of nonlinear systems via Q-learning. An input-output mapping is described by a pseudo-partial derivatives form. A Q-learning-based optimization criterion is provided to establish a data-drivencontrol law. A dynamic penalty factor composed of tracking errors is supplied to accelerate errors convergence. Consequently, a novel triggering rule related to this factor and performance cost is proposed to save communication resources. Sufficient conditions are developed for guaranteeing the ultimately uniform boundedness of the resultant tracking errors system. Two simulation studies are executed to verify the effectiveness of the presented scheme.
暂无评论