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.
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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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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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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Wheelchairs on two wheels are needed for disabled persons to perform some of the essential tasks in their living and work environments. In fact it offers great advantages and efficiency for the user. Besides allowing ...
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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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