This paper deals with control of human-machine cooperative systems considering maneuverability for their human operators. At first, the general structure and the parameterization of the controlled systems axe outlined...
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ISBN:
(纸本)0780378660
This paper deals with control of human-machine cooperative systems considering maneuverability for their human operators. At first, the general structure and the parameterization of the controlled systems axe outlined. Second, it is experimentally verified that self-shaping characteristics of a human operator exists in a human-machine cooperative system similarly in manual control systems and that the characteristics can be used for specifying desirable frequency characteristics of the maneuver transfer function, a transfer function from operational force to motion of object at the operational point. Then, a control design procedure that specifies two closed-loop transfer functions of the controlled system independently is proposed. On the procedure, the maneuver transfer function is specified suitably corresponding to the self-shaping characteristics, and the transfer function of object dynamics variation is also specified considering recognition of the variation. Finally, experiments on human-machine cooperative task to trace a boundary of object dynamics variation are carried out, and the validity of the proposed design procedure is confirmed.
In this paper, we propose a design method of neurocontrollers (NCs) evolved by a genetic algorithm (GA) for the backward movement control of multitrailer systems. In a previous study, we proposed a control method usin...
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The concept of self-replicating machines was introduced more than fifty years ago by John von Neumann. However, a fully autonomous self-replicating robot has yet to be implemented. This paper discusses our ongoing res...
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Assembly automation has become a research highlight for years. Dynamics of the most fundamental peg-in-hole mating, which represents an important topic of future research, is, however, far from being resolved. To this...
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This article presents the design and real-time implementation of a control system for an Automated Ground Vehicle (AGV) (similar to that shown in Figure 1 from [2]) for use in port application. The control system cons...
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The proceedings contain 266 papers. The topics discussed include: on using discretized cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains;a parameter control method insp...
ISBN:
(纸本)0780378660
The proceedings contain 266 papers. The topics discussed include: on using discretized cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains;a parameter control method inspired from neuromodulators in reinforcement learning;manipulation of hidden units activities for fault tolerant multi-layer neural networks;state estimation for flexible joint manipulators using stable neural networks;a text processing kohonen neural network;software tool development for marker making operations in textile industry;genetic design of decentralized controllers for 5dof robotic manipulator;design of sliding mode power system stabilizer via genetic algorithm;an operation planning method for a demand-bus system based on local search of autonomous agents;and an analysis of U-mart experiments by machine and human agents.
The proceedings contain 266 papers. The topics discussed include: on using discretized cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains;a parameter control method insp...
ISBN:
(纸本)0780378660
The proceedings contain 266 papers. The topics discussed include: on using discretized cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains;a parameter control method inspired from neuromodulators in reinforcement learning;manipulation of hidden units activities for fault tolerant multi-layer neural networks;state estimation for flexible joint manipulators using stable neural networks;a text processing kohonen neural network;software tool development for marker making operations in textile industry;genetic design of decentralized controllers for 5dof robotic manipulator;design of sliding mode power system stabilizer via genetic algorithm;an operation planning method for a demand-bus system based on local search of autonomous agents;and an analysis of U-mart experiments by machine and human agents.
The proceedings contain 266 papers. The topics discussed include: on using discretized cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains;a parameter control method insp...
ISBN:
(纸本)0780378660
The proceedings contain 266 papers. The topics discussed include: on using discretized cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains;a parameter control method inspired from neuromodulators in reinforcement learning;manipulation of hidden units activities for fault tolerant multi-layer neural networks;state estimation for flexible joint manipulators using stable neural networks;a text processing kohonen neural network;software tool development for marker making operations in textile industry;genetic design of decentralized controllers for 5dof robotic manipulator;design of sliding mode power system stabilizer via genetic algorithm;an operation planning method for a demand-bus system based on local search of autonomous agents;and an analysis of U-mart experiments by machine and human agents.
Tangible agent (TA) is a new medium that communicates the senses of sight, hearing, touch, smell, and taste of human to computer. Intelligent behavior is a key property to realize the agent because it must interact wi...
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In this paper, a new design procedure of nonlinear adaptive inverse control with the fuzzy neural networks based on support vector regression (FNNBSVR) and annealing robust learning algorithm (ARLA) is proposed for th...
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