Adaptive control approaches yield high-performance controllers when a precise system model or suitable parametrizations of the controller are available. Existing data-driven approaches for adaptive control mostly augm...
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ISBN:
(纸本)9781728190778
Adaptive control approaches yield high-performance controllers when a precise system model or suitable parametrizations of the controller are available. Existing data-driven approaches for adaptive control mostly augment standard model-based methods with additional information about uncertainties in the dynamics or about disturbances. In this work, we propose a purely data-driven, model-free approach for adaptive control. Tuning low-level controllers based solely on system data raises concerns on the underlying algorithm safety and computational performance. Thus, our approach builds on GoOSE, an algorithm for safe and sample-efficient Bayesian optimization. We introduce several computational and algorithmic modifications in GoOSE that enable its practical use on a rotational motion system. We numerically demonstrate for several types of disturbances that our approach is sample efficient, outperforms constrained Bayesian optimization in terms of safety, and achieves the performance optima computed by grid evaluation. We further demonstrate the proposed adaptive control approach experimentally on a rotational motion system.
Modeling the Coulomb Friction Cone in trajectory optimization is typically done by linearizing it along a series of vectors. Often, these vectors define the edges of polyhedral estimations of the cone. This article pr...
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ISBN:
(纸本)9781728190778
Modeling the Coulomb Friction Cone in trajectory optimization is typically done by linearizing it along a series of vectors. Often, these vectors define the edges of polyhedral estimations of the cone. This article provides an alternate approach that samples the cone along a vector that satisfies the Maximum Dissipation Principle, which is shown to be significantly more computationally tractable. The proposed technique uses the polar representation of the relative velocity of a contact point on a surface to determine the direction of the resultant friction force and linearizes the friction cone along this vector. This study describes the development of the proposed model. Thereafter, a trajectory optimization experiment was conducted to compare the traditional four-sided polyhedral estimation of the friction cone with the novel method. Compute time and computational complexity were used as performance metrics in this study. Results from these experiments indicate that the proposed method reduced the compute time by 39.13% and a 57.00% reduction in inequality constraints when compared to the 4-sided polyhedral estimation.
The contribution sketches the emergence of the present days robotic art as the result and reflection of activities in fields of art creativity and science fiction (both literature and cinematography) in the first half...
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At present, industrial robots are required to support high-mix low-volume production, which calls for automation and flexibility in production lines. To realize these requirements, it is necessary that automate of bin...
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This paper presents an overview of a specific application to computationalintelligence techniques, specifically, evolving fuzzy systems: online fuzzy inference system with Takagi-Sugeno evolving structure, which empl...
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ISBN:
(纸本)9789897581229
This paper presents an overview of a specific application to computationalintelligence techniques, specifically, evolving fuzzy systems: online fuzzy inference system with Takagi-Sugeno evolving structure, which employs an adaptive distance norm based on the maximum likelihood criterion online with instrumental variable recursive parameter estimation. The performance and application of the proposed methodology is based on the black box modeling.
A bacteria-immunity system model is formulated to describe the interaction between bacteria and immune cells with quorum sensing. Time delay is introduced to study this system. The stability and the conditions for the...
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In this paper, we propose two decentralized approximate algorithms for nested Gaussian processes in multirobot systems. The distributed implementation is achieved with iterative and consensus methods that facilitate l...
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ISBN:
(纸本)9781728190778
In this paper, we propose two decentralized approximate algorithms for nested Gaussian processes in multirobot systems. The distributed implementation is achieved with iterative and consensus methods that facilitate local computations at the expense of inter-robot communications. Moreover, we propose a covariance-based nearest neighbor robot selection strategy that enables a subset of agents to perform predictions. In addition, both algorithms are proved to be consistent. Empirical evaluations with real data illustrate the efficiency of the proposed algorithms.
This paper deals with the integrated production planning and scheduling over a finite horizon for synchronous automobile assembly lines. We present a mixed integer programming model such that it can facilitate to deve...
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In this study, we present a novel model for repeater coordination. With the Density Dilution Algorithm(DDA) one can deploy the minimum number of repeaters and at the same time to achieve enough user capacity in the ar...
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With the introduction of telerobotic systems, it has become possible for surgeons to perform medical operations at greater physical distances from their patients. Whether in an adjacent room or on another continent, t...
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ISBN:
(纸本)9781479999118
With the introduction of telerobotic systems, it has become possible for surgeons to perform medical operations at greater physical distances from their patients. Whether in an adjacent room or on another continent, these systems enable greater flexibility in mitigating adverse surgical conditions. These ideas originally came from the space research, where further needs emerged to advance robots that could resolve surgical cases previously not treatable. The concept of providing surgical aid to astronauts in outer space yielded to telerobotic surgical care on Earth, benefiting around 1 million patients per year. As the field continues to develop and becomes more prevalent, it is worth looking back to the origins of the technology and the early days of robotic telesurgery. While many of the early prototypes and technologies never reached patients, their engineering components and innovative concepts directly lead to the birth of modern surgical robots.
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