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Dynamic Properties of Dual-delay Network Congestion Control System Based on Hybrid Control
This paper studies an Internet congestion control system with two time delays, which are accessed by a single resource and considers both discrete...
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Self-adjusting PID control system using a neural network for a binary power plant
Proportional–integral–derivative (PID) control systems are typically used in power plants owing to their simple structure and ease of implementation....
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Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance
In this study, an adaptive neural network (NN) control is proposed for nonlinear two-degree-of-freedom (2-DOF) helicopter systems considering the...
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Development of sliding mode control based on diagonal recurrent neural network for coupled tank system
This study presents the development of sliding mode control (SMC) using the diagonal recurrent neural network (DRNN) for nonlinear systems. Firstly,...
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Adaptive neural network based boundary control of a flexible marine riser system with output constraints
In this study, we develop an adaptive neural network based boundary control method for a flexible marine riser system with unknown nonlinear...
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A Method of Network Access Control for Ensuring Network Infrastructure Security Based on Severing Superfluous Network Connectivity
Abstract —This paper discusses problems of improving network infrastructure security. A network infrastructure is developed; an access control method...
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A composite neural network-based adaptive sliding mode control method for reluctance actuator maglev system
To achieve high levitation control performances for a maglev system (MLS) with the uncertainties caused by the inherent nonlinearities and external...
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A Method of Optimal Control of a Technical System or Process Using the Neural Network Model and the Thompson Sampling Algorithm
AbstractThe paper proposes an approach to solving the problem of optimal management of a technical system or process (control object) in the form of...
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Neural Network Control of Distributed Cooperative Formation of Multi-agent System
The paper presented in this article deals with the issue of distributed cooperative formation of multi-agent systems (MASs). It proposes the use of...
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Intelligent Pet House Environment Control System Based on Decoupling Fuzzy Neural Network
In recent years, the number of pets in China has increased, and intelligent pet houses have developed rapidly. However, most intelligent pet houses...
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Network and System Security 16th International Conference, NSS 2022, Denarau Island, Fiji, December 9–12, 2022, Proceedings
This book constitutes the refereed proceedings of the 16th International Conference on Network and System Security, NSS 2022, held in Denarau Island,...
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Optimal Control Selection for Stabilizing the Inverted Pendulum Problem Using Neural Network Method
Abstract—The task of managing unstable systems is a critically important management problem, as an unstable object can pose significant danger to...
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Neural Network Based Adaptive Inverse Optimal Control for Non-Affine Nonlinear Systems
In this paper, a novel methodology is introduced for the inverse optimal control of non-affine, nonlinear and discrete-time systems. Although inverse...
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Intrusion detection system for controller area network
The rapid expansion of intra-vehicle networks has increased the number of threats to such networks. Most modern vehicles implement various physical...
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Sampled-data bipartite containment control over a network of wave equations
This paper studies the bipartite containment control problem for a network of wave equations. A distributed sampled-data control protocol is proposed...
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Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network
With the enormous growth in the public and private vehicles fleet, traffic congestion is increasing at a very high rate. To deal with this, an...
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Adaptive recurrent neural network intelligent sliding mode control of permanent magnet linear synchronous motor
In permanent magnet linear synchronous motor systems, the nonlinear system functions in the dynamic model are difficult to obtain accurately, which...
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Control Plane Comparison of OpenDayLight and Open Network Operating System Controllers
Software-Defined Networks (SDN) provide a new networking solution that decouples the control and data planes. The SDN controller as core component of...
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Design of Intelligent Twin-Screw Extruder Control System Based on Improved PSO-BP Neural Network
In the biaxially oriented polyester film production line, the extrusion system is a very important link, and the stability of the extruder pressure...
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A transfer learning-based intrusion detection system for zero-day attack in communication-based train control system
Communication-based train control (CBTC) system is a typical cyber-physical system with open wireless communication that is vulnerable to attacks. To...
