Direct human-robot communication system based on natural language (NL) and cognitive graphics (CG) as a part of a new hierarchical structure of AI control system of mobile robot for service use (MRSU) is developed, Th...
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ISBN:
(纸本)0818681381
Direct human-robot communication system based on natural language (NL) and cognitive graphics (CG) as a part of a new hierarchical structure of AI control system of mobile robot for service use (MRSU) is developed, The software of simulation system for direct human-robot communication and MRSU behavior based on NL and CG is described. The NL an CG is used for description and representation of possible external worlds in the robot artificial life, This system allows us to evaluate the control algorithms of real time robot behavior and to reduce difficulties connected with such troubles as robot collisions with real objects and robot hardware damages. The mathematical background of direct NL human-robot communication and robot behavior simulation system is knowledge engineering based on spatio-temporal and action logics, default reasoning, cognitive graphics and soft computing, The main concepts, structure, conceptual model of simulation system for description of artificial life of MRSU are discussed, The example of simulation and real experimental results are described.
This paper proposes an adaptive algorithm for the control and synchronization of a class of second order chaotic systems which exact dynamics or parameters are unknown in priori. The proposed control scheme includes a...
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ISBN:
(纸本)9781467358934
This paper proposes an adaptive algorithm for the control and synchronization of a class of second order chaotic systems which exact dynamics or parameters are unknown in priori. The proposed control scheme includes a feedback controller and a feedforward compensator. Both the gains of the controller and the compensator are updated by an adaptation algorithm derived from Model Reference Adaptive control (MRAC) theory. In the proposed approach, the optimal adaptation gains are identified using the Nelder-Mead simplex algorithm. This algorithm does not require the derivatives of the performance index to be optimized, and is therefore particularly applicable to complex systems or problems with undifferentiable elements, discontinuities or uncertainties. The feasibility and effectiveness of the proposed approach are demonstrated by way of numerical simulations using general Duffing's systems for illustration purposes.
In this paper, a Particle Swarm Optimization (PSO) based Model Predictive control (MPC) scheme is studied through a variety of tests to better understand its behavior and characteristics. The technique has already bee...
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This paper presents the development of a testbed for mobile robot platoons based on modern microcontroller units. The sensor/actuator interfacing capacity, the general-purpose communication module and the simple progr...
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ISBN:
(纸本)9781728156255
This paper presents the development of a testbed for mobile robot platoons based on modern microcontroller units. The sensor/actuator interfacing capacity, the general-purpose communication module and the simple programming environment of the applied controller enable the rapid and flexible development of the robot platoon control system. In spite of the low implementation costs, the testbed allows the implementation and testing of advanced control strategies and communication protocols. The paper presents both the software and hardware development of the testbed. Real-time experimental measurements are also presented to show the applicability of the developed system.Y
Due to unbounded and random delays in the Internet based teleoperation, for a teleoperated task, if the phase lag is too large, the system may be unstable or the system performance may degrade greatly. To solve this p...
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ISBN:
(纸本)0780372034
Due to unbounded and random delays in the Internet based teleoperation, for a teleoperated task, if the phase lag is too large, the system may be unstable or the system performance may degrade greatly. To solve this problem, a dynamic task allocation method and a corresponding adaptive scaling control algorithm are introduced. A simple teleoperated mobile navigation example is used to show the feasibility of this approach.
This paper proposes a tracking controller for a four rotors helicopter robot using dynamic feedback linearization based on piecewise bilinear (PB) models. The approximated model is fully parametric. Input-output (I/O)...
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ISBN:
(纸本)9781479945306
This paper proposes a tracking controller for a four rotors helicopter robot using dynamic feedback linearization based on piecewise bilinear (PB) models. The approximated model is fully parametric. Input-output (I/O) dynamic feedback linearization is applied to stabilize PB control system. Although the controller is simpler than the conventional I/O feedback linearization controller, the control performance based on PB model is the same as the conventional one. Examples are shown to confirm the feasibility of our proposals by computer simulations.
People with diabetes, clinicians and researchers alike need appropriate metrics to manage diabetes, assess the quality of blood glucose control, and guide the development of new therapies and control methods. In this ...
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ISBN:
(纸本)9798350398823
People with diabetes, clinicians and researchers alike need appropriate metrics to manage diabetes, assess the quality of blood glucose control, and guide the development of new therapies and control methods. In this paper, we review some commonly used metrics with their advantages and disadvantages. We analyze the glucose data of a CGM user to compare the results of different metrics and determine which of these gives the most complete picture of glycemic control in silico trials of artificial pancreas systems.
This paper proposes a new neuro -fuzzy learning machine called extreme learning adaptive neuro-fuzzy inference system (ELANFIS) which can be applied to control of nonlinear systems. The new learning machine combines t...
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ISBN:
(纸本)9781479945306
This paper proposes a new neuro -fuzzy learning machine called extreme learning adaptive neuro-fuzzy inference system (ELANFIS) which can be applied to control of nonlinear systems. The new learning machine combines the learning capabilities of neural networks and the explicit knowledge of the fuzzy systems as in the case of conventional adaptive neuro-fuzzy inference system (ANFIS). The parameters of the fuzzy layer of ELANFIS are not tuned to achieve faster learning speed without sacrificing the generalization capability. The proposed learning machine is used for inverse control and model predictive control of nonlinear systems. Simulation results show improved performance with very less computation time which is much essential for real time control.
A wide variety of fieldbuses have been set up in the industrial automation system in different time periods under different environment. Therefore, during the development of industrial automation systems and control a...
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ISBN:
(纸本)0780378660
A wide variety of fieldbuses have been set up in the industrial automation system in different time periods under different environment. Therefore, during the development of industrial automation systems and control applications, the developer has to consider the interconnection of heterogeneous fieldbuses. In the paper, a Heterogeneous Fieldbuses Interconnection Architecture (HFIA) is presented to interconnect heterogeneous fieldbuses in wide area industrial automation system. The HFIA provides an integrated software framework to interconnect heterogeneous fieldbuses. With the help of the HFIA, it is easy and fast to interconnect heterogeneous fieldbuses. At the same time, the HFIA can be used for high-level industrial applications to control, monitor and optimize the operations of the fieldbuses systems. Profilbus, CANbus and Ethernet/IP are adopted as case studies for the HFIA architecture.
We analyzed the Co-emergence process on the cooperative walks between two humans. As the results, we found the cyclic process based on the following two control processes. One is the process to realize the footsteps...
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ISBN:
(纸本)0780378660
We analyzed the Co-emergence process on the cooperative walks between two humans. As the results, we found the cyclic process based on the following two control processes. One is the process to realize the footsteps' coherence between the cooperative walkers. The other is the process to control the coherence by the mutual relations with the fluctuations of the arms' swing, connected with the attention. Additionally we found that the arms' fluctuations take flexible synchronizations between the cooperative walkers. These results suggest that the synchronization of the cyclic process realize the Co-emergence of the cooperative walk flexibly.
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