Drones in flight make a variety of vibration frequencies. Therefore, gimbal system is needed to get clean images from drone-mounted cameras. The system consists of two things: one is a structure to support a camera mo...
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The cryogenic separation process is typically used to extract specific components of the air in high purity gas or liquid forms. This paper proposes a computational approach for synthesizing optimal and suboptimal tra...
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ISBN:
(纸本)9781509015740;9781509015733
The cryogenic separation process is typically used to extract specific components of the air in high purity gas or liquid forms. This paper proposes a computational approach for synthesizing optimal and suboptimal tracking controllers for a nonlinear model of a cryogenic isotope separation process. The proposed method essentially formulates a sum of squares (SOS) optimization problem for solving the state-dependent Riccati equation (SDRE) which arises in the considered nonlinear tracking control problem. More specifically, the paper first characterizes an optimal control law which forces the closed loop state trajectories to track a given reference signal and at the same time minimizes a quadratic performance index in an exact manner. Due to a computational issue which arises in synthesizing such an exact control law (i.e. the need to solve the SDRE), the paper then formulates SOS optimization problems for computing sub-optimal tracking control laws. A simulation example describing the design of a tracking controller for the cryogenic isotope separation process plant is then presented to illustrate the effectiveness of the proposed method.
We employ recent control design algorithms for delay systems to address the mixed sensitivity design of a dynamic controller for multiple degree of freedom systems interconnected with an inverse signal shaper. A delay...
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Networked control systems (NCS) typically utilize networks of computers and communication links to automatically monitor and manage the plant-sensor-controller-actuator interactions and data exchanges. One important i...
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ISBN:
(纸本)9781509015740;9781509015733
Networked control systems (NCS) typically utilize networks of computers and communication links to automatically monitor and manage the plant-sensor-controller-actuator interactions and data exchanges. One important issue in the design of NCS is concerning the reliability and security of the used communication network when there are problems/imperfections which occur due to failures of some components or attacks from malicious adversaries. This paper examines the NCS stability in the presence of a particular communication network problem called denial-of-service (DoS). In essence, a DoS is a form of failure/attack on NCS' communication systems which prevents an ideal implementation of the control inputs to be executed. This paper proposes a resilient control design approach based on a dynamic triggering scheme (DTS) which guarantees the stability of the closed loop NCS in the presence of DoS. The main results of the papers show that the DTS appears to be a more beneficial approach than the previously developed static triggering scheme since the former not only provides an event-triggered implementation scheme with longer inter-sampling interval but is also capable of mitigating DoS with longer (average) duration of occurrences.
The paper presents techniques for navigation by Automated Guided Vehicle in two different environments to reach its destination. The environments are, a) Normal(unguided) and b) Guided. An artificial potential functio...
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In this work, a novel Hybridized Grey Wolf Optimizer (HGWO) is proposed by combining the nature inspired Grey Wolf Optimizer (GWO) and Kalman Bucy (KB) correction mechanism. The modifications are implemented in such a...
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ISBN:
(纸本)9781509054442
In this work, a novel Hybridized Grey Wolf Optimizer (HGWO) is proposed by combining the nature inspired Grey Wolf Optimizer (GWO) and Kalman Bucy (KB) correction mechanism. The modifications are implemented in such a way that, the predicted solution obtained from the existing GWO are corrected through the KB mechanism. This improves the efficiency of searching and the rate of convergence towards the global optimum. The local optima avoidance is carried out by the implementation of Shuttling Back and forth Avoidance (SBA) algorithm. An analytical based procedure is followed to determine the learning rate of Kalman gain. The capability of exploring and exploiting the global solution of the HGWO are validated through 6 different benchmark functions. The statistical analysis over the obtained simulation results provides the significance of the HGWO algorithm. The proposed algorithm is applied to obtain a cost optimal design for two different case studies of Water Distribution Network (WDN). The results of HGWO are verified through a comparative study with well-known swarm based PSO and existing GWO algorithm.
This paper presents a Proportional Integral Derivative controller based on Differential Voltage Current Conveyor Transconductance Amplifier as an active element. In the proposed circuit, the PID parameters namely, Pro...
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This paper presents a Proportional Integral Derivative controller based on Differential Voltage Current Conveyor Transconductance Amplifier as an active element. In the proposed circuit, the PID parameters namely, Pro...
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The main aim of this paper is to provide open-source and open-hardware solution for home control automation systems. Final approach uses wireless communication, solar powered sensor array and simple scale-up system ne...
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A three-layer perceptron ANN is designed to avoid difficulties during learning process. The resulting V-shaped Artificial Neural Network has universal approximation property and its learning is based on the minimizati...
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