The benefits of nonlinear damping in increasing the amount of energy (power) harvested by a vibration-based energy harvester (VEH) has been reported where it was revealed that more energy can be harvested using nonlin...
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Previous stability analysis of the Particle Swarm Optimizer (PSO) were based on the assumption that all parameters are non-random, in effect a deterministic particle swarm optimizer. In this paper, we analyze the stab...
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Previous stability analysis of the Particle Swarm Optimizer (PSO) were based on the assumption that all parameters are non-random, in effect a deterministic particle swarm optimizer. In this paper, we analyze the stability of the particle dynamics without this restrictive assumption using Lyapunov stability analysis and the concept of passive systems for the continuous time version of the particle Swarm optimizer. Sufficient conditions for stability are derived and an illustrative example given.
This paper presents an application of a model checking framework to robotic search, particularly search problems known as pursuit-evasion that assume a smart, fast and evading target. Within the framework we can model...
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As global digitization continues to grow, technology becomes more affordable and easier to use, and social media platforms thrive, becoming the new means of spreading information and news. Communities are built around...
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As global digitization continues to grow, technology becomes more affordable and easier to use, and social media platforms thrive, becoming the new means of spreading information and news. Communities are built around sharing and discussing current events. Within these communities, users are enabled to share their opinions about each event. Using Sentiment Analysis to understand the polarity of each message belonging to an event, as well as the entire event, can help to better understand the general and individual feelings of significant trends and the dynamics on online social networks. In this context, we propose a new ensemble architecture, EDSAEnsemble (Event Detection Sentiment Analysis Ensemble), that uses Event Detection and Sentiment Analysis to improve the detection of the polarity for current events from Social Media. For Event Detection, we use techniques based on Information Diffusion taking into account both the time span and the topics. To detect the polarity of each event, we preprocess the text and employ several Machine and Deep Learning models to create an ensemble model. The preprocessing step includes several word representation models: raw frequency, TFIDF, Word2Vec, and Transformers. The proposed EDSA-Ensemble architecture improves the event sentiment classification over the individual Machine and Deep Learning models. Authors
This paper presents some challenges for securing the electric power system and the major vulnerabilities introduced by the increasing complexity of these systems. By integrating computers, communications and control a...
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This paper presents an investigation into the development of an augmented control scheme for vibration suppression and rigid body motion control of a twin rotor multiinput multi-output system (TRMS) in hovering mode. ...
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ISBN:
(纸本)9812835768
This paper presents an investigation into the development of an augmented control scheme for vibration suppression and rigid body motion control of a twin rotor multiinput multi-output system (TRMS) in hovering mode. The augmented control scheme comprises feedforward and feedback control methods. A 4-impulse input shaper is designed and employed as a feedforward control method to pre-process the command signal applied to the system, based on the identified modes of vibration. It is then combined a hybrid feedback controller to form an augmented control scheme referred to as hybrid PD-type FLC and PID with 4-impulse input shaper (FPDPID+IS). The developed control strategy is designed and implemented within the simulation environment of the TRMS rig. Results of the response of the TRMS with the developed controller are presented in time and frequency domains. The performance of the proposed control scheme is assessed in terms of input tracking and level of vibration reduction. This is accomplished by comparing the system response with the developed controller to the one without control action in both open and closed loop configurations.
Volterra series (VS) are widely used in non-linear dynamical system identification. Much physical information about a system can be extracted from the corresponding VS model. Most non-linear frequency domain represent...
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This paper presents a modelling design framework and results for human participants undergoing mental stress. A mental stressful scenario is achieved while participants perform operations in a simulated control proces...
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In this paper we consider constrained 0 sparse optimization problems, that is, constrained problems with the objective function composed of a smooth part and an 0 regular-ization term. We analyze a penalty decompositi...
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Ability to simulate pedestrian behaviour on a large scale is essential in identifying potential dangers in public spaces during an evacuation. Multiple designs must be tested with varying parameters and run multiple t...
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