We are adopting Brooks and Wiley's view of evolution as an irreversible process capable of producing increasingly greater complexity at higher organizational levels. We start from the assumption that the evolution...
We are adopting Brooks and Wiley's view of evolution as an irreversible process capable of producing increasingly greater complexity at higher organizational levels. We start from the assumption that the evolutionary force is intrinsic in the living system, and is in reality a continuous senescence function leading gradually and unavoidably to death. We are therefore seeking a senescence function that favors social rather than solitary agents in terms of longevity, without prespecifying in detail the agent's life span. We show that a senescence function relyling on negative (destructive) feedback links from metabolism to genetic program conforms with these specifications. We also show that senescence should affect all the regulation parameters of the agent, and that the system remains nonmanipulable and unpredictable as far as its life span is concerned. This senescence function favors the more “cognitive” agent models (the ones having additional regulation loops), and thus the emergence of organizations of a higher order that have more elaborate social relations.
A robust controller with the sliding mode is proposed for stable dynamic walking of a biped robot in this paper. The robot system is modeled as 14-DOF rigid bodies considering kinematic construction of a humanoid. The...
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ISBN:
(纸本)0780370902
A robust controller with the sliding mode is proposed for stable dynamic walking of a biped robot in this paper. The robot system is modeled as 14-DOF rigid bodies considering kinematic construction of a humanoid. The method of multibody dynamics is applied to construct the equations of motion for the complicated biped robot system. In order to obtain the optimized trunk trajectory, the modified FFT method is solved iteratively. The dynamic walking simulation is performed by using optimized trajectories of the trunk and each foot. Also, Hertz force model and hysteresis damping element are employed for the ground reaction and impact forces during contact with the ground. Finally, the sliding mode control is applied to solve the problems of modeling imprecisions or uncertainties. Under the assumption of the bounded estimation errors on the unknown parameters, the proposed controller provides a successful way to achieve the stability and good performance.
This paper presents a proposal of modeling, simulation and implementation of a robotic biped locomotion system. The initial step consists of the determination of the cinematic characteristics and the system performanc...
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This paper presents a proposal of modeling, simulation and implementation of a robotic biped locomotion system. The initial step consists of the determination of the cinematic characteristics and the system performance during walking. Starting from the methodology of the generated kinematics model, several computational programs were elaborated with the purpose of reproducing and managing the space displacement, velocity and acceleration of the articulated system. To validate the developed algorithm, an articulated system prototype of a robotic leg was elaborated in which the developed methodology will be implemented and tested.
Looper control is widely used for rolling tension control, but conventional control performance usually degrades with the rolling parameter variations. Fuzzy control systems were proposed in Janabi-Sharifi and Fan (20...
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Looper control is widely used for rolling tension control, but conventional control performance usually degrades with the rolling parameter variations. Fuzzy control systems were proposed in Janabi-Sharifi and Fan (2000) and outperformed conventional control systems in terms of disturbance rejection and decreased steady state error. In this paper, hybrid neuro-fuzzy control is proposed for the T-operator and rule-tuning. Simulation results are presented to compare the performance of different operators and rule-tuning versus T-operator tuning. Also, the responses of the proposed systems and the above mentioned fuzzy control method are compared and practical conclusions are made.
The paper discusses the issue of radiometric constraints for feature selection in the context of visual servoing. Radiometric constraints are presented and measures are formulated to select the most optimal features i...
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The paper discusses the issue of radiometric constraints for feature selection in the context of visual servoing. Radiometric constraints are presented and measures are formulated to select the most optimal features in a radiometric sense from the set of candidate features. Experiment results verify the effectiveness of the proposed measures.
Looper control is one of the challenging problems in rolling mills. The purpose of the paper is to propose an intelligent control method using fuzzy logic and neural networks for improved the performance of looper con...
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Looper control is one of the challenging problems in rolling mills. The purpose of the paper is to propose an intelligent control method using fuzzy logic and neural networks for improved the performance of looper control over conventional loop control methods. The focus of the paper is on the rule-tuning aspect of the proposed fuzzy looper control. Simulation results are presented to verify the performance of the control system.
The extended Kalman filter has been shown to produce accurate pose estimates for visual servoing, assuming that the dynamic noise covariance is known prior to application. Poor estimation of the dynamic noise covarian...
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The extended Kalman filter has been shown to produce accurate pose estimates for visual servoing, assuming that the dynamic noise covariance is known prior to application. Poor estimation of the dynamic noise covariance matrix, Q, can lead to large tracking error or divergence. This paper discusses the use of an adaptive filtering technique to update Q. This provides robust object tracking with unknown trajectory for a visual servoing system with little increase in computational cost. Furthermore, an approximation to a maximum likelihood method with a limited memory filter is proposed, for a time-efficient pose-based visual servoing system.
This paper examines the usefulness of Fuzzy Cognitive Maps in modeling complex systems and specifically their use in modeling supervisory manufacturing systems and handling with information from an abstract point of v...
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This paper examines the usefulness of Fuzzy Cognitive Maps in modeling complex systems and specifically their use in modeling supervisory manufacturing systems and handling with information from an abstract point of view. The use of Fuzzy Cognitive Maps for developing behavioral model for a complex system is discussed. Fuzzy Cognitive Maps applicability in modeling complex systems is presented and a hierarchical structure is proposed to model and control a complex system. Complex system is decomposed in subsystems and for each one a FCM model is developed. A hierarchical structure is proposed where Fuzzy Cognitive Map models the supervisor of the system and develops an abstract conceptual model of the complex system.
This paper presents the results from an experimental investigation into the performance of stiffness control, implemented on a two degree-of-freedom manipulator that uses harmonic drive gears. Stiffness control, which...
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ISBN:
(纸本)0780365763
This paper presents the results from an experimental investigation into the performance of stiffness control, implemented on a two degree-of-freedom manipulator that uses harmonic drive gears. Stiffness control, which is the simplest form of impedance control, was implemented using force feedback. The results demonstrate the benefits of using force feedback to compensate for static friction effects and for the difficulty in accurately controlling the joint torques for geared manipulators.
Snakes perform many kinds of movement that are adaptable to the environment. Utilizing the snake (its forms and motion) as a model to develop a snake-like robot that emulates a snakes' function is important for ge...
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ISBN:
(纸本)0780365763
Snakes perform many kinds of movement that are adaptable to the environment. Utilizing the snake (its forms and motion) as a model to develop a snake-like robot that emulates a snakes' function is important for generating a new type of locomotor and expanding the possible use of robots. We developed a simulator to simulate the creeping locomotion of a snake-like robot, in which the robot dynamics is modeled and its interaction with the environment is considered through Coulomb friction. This simulator makes it possible to analyze the creeping locomotion with the normal-direction slip coupled to gliding along the tangential direction. Through the developed simulator, we investigated the snake-like robot creeping locomotion which is generated only by swinging each of the joints from side to side, and discussed the optimal creeping locomotion of the snake-like robot that is adaptable to a given environment.
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