Results 191 to 200 of about 28,008,925 (238)
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Entropy generation of nanofluid and hybrid nanofluid flow in thermal systems: A review
, 2020This paper presents a review of the contributions on entropy generation of nanofluids and hybrid nanofluids in the different types of thermal systems for different boundary conditions and physical situations. The relevant papers are classified into three
G. Huminic, A. Huminic
semanticscholar +1 more source
2004
Affine hybrid systems are hybrid systems in which the discrete domains are affine sets and the transition maps between discrete domains are affine transformations. The simple structure of these systems results in interesting geometric properties; one of these is the notion of spatial equivalence.
Aaron D. Ames, Shankar Sastry 0001
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Affine hybrid systems are hybrid systems in which the discrete domains are affine sets and the transition maps between discrete domains are affine transformations. The simple structure of these systems results in interesting geometric properties; one of these is the notion of spatial equivalence.
Aaron D. Ames, Shankar Sastry 0001
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Surgery
Standard laparoscopic instruments have limited dexterity because of their few degrees of freedom, making some surgical tasks extremely challenging. Robotic surgery was developed to overcome these issues, but the da Vinci system is associated with high costs.
Baldari, Ludovica +2 more
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Standard laparoscopic instruments have limited dexterity because of their few degrees of freedom, making some surgical tasks extremely challenging. Robotic surgery was developed to overcome these issues, but the da Vinci system is associated with high costs.
Baldari, Ludovica +2 more
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Reconfiguration of Hybrid Systems
2023Hybrid systems are characterized by a combination of discrete and continuous behavior. Such hybrid systems are becoming more and more widespread, while constantly developing and growing in size because they create countless possibilities for modeling real-world systems.
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1995
The design of nonlinear dynamical systems to realize the desired behavior of devices and processes is a fundamental problem that is often approached from the perspective of control theory. Control provides a large set of tools for tackling these design problems, but some classes of problems have remained resistant to these methods. This paper discusses
John Guckenheimer, Stewart Johnson
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The design of nonlinear dynamical systems to realize the desired behavior of devices and processes is a fundamental problem that is often approached from the perspective of control theory. Control provides a large set of tools for tackling these design problems, but some classes of problems have remained resistant to these methods. This paper discusses
John Guckenheimer, Stewart Johnson
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IEEE Robotics & Automation Magazine, 2011
Robotics has provided the motivation and inspiration for many innovations in planning and control. From nonholonomic motion planning [1] to probabilistic road maps [2], from capture basins [3] to preimages [4] of obstacles to avoid, and from geometric nonlinear control [5], [6] to machine-learning methods in robotic control [7], there is a wide range ...
Jerry Ding +5 more
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Robotics has provided the motivation and inspiration for many innovations in planning and control. From nonholonomic motion planning [1] to probabilistic road maps [2], from capture basins [3] to preimages [4] of obstacles to avoid, and from geometric nonlinear control [5], [6] to machine-learning methods in robotic control [7], there is a wide range ...
Jerry Ding +5 more
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Optimization of hybrid systems
Computers & Chemical Engineering, 2006An overview of dynamic optimization problems with hybrid systems embedded is presented. The control parameterization approach is examined in detail, where the possibility of mode switching within the hybrid system causes nonsmoothness in the Master problem, thus invalidating gradient based solvers.
Paul I. Barton, Cha Kun Lee, Mehmet Yunt
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1997
Hybrid systems-those composed of the interaction of discrete and continuous inputs, outputs, states, and dynamic equations-are an important class of models of complex, real-world phenomena. However, the simulation tools currently available seem to be (1) ad hoc retro fitting of existing packages, (2) hastily-built new languages, or (3) specialized ...
Michael S. Branicky, Sven Erik Mattsson
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Hybrid systems-those composed of the interaction of discrete and continuous inputs, outputs, states, and dynamic equations-are an important class of models of complex, real-world phenomena. However, the simulation tools currently available seem to be (1) ad hoc retro fitting of existing packages, (2) hastily-built new languages, or (3) specialized ...
Michael S. Branicky, Sven Erik Mattsson
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1996
Hybrid systems combine discrete and continuous behavior. We study properties of trajectories of a rectangular hybrid system in which the discrete state goes through a loop. This system is viable if there exists an infinite trajectory starting from some state. We show that the system is viable if and only if it has a limit cycle or fixed point.
Mikhail Kourjanski, Pravin Varaiya
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Hybrid systems combine discrete and continuous behavior. We study properties of trajectories of a rectangular hybrid system in which the discrete state goes through a loop. This system is viable if there exists an infinite trajectory starting from some state. We show that the system is viable if and only if it has a limit cycle or fixed point.
Mikhail Kourjanski, Pravin Varaiya
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2016
We define the field of hybrid systems neuroscience as the reformulation of hybrid system models, analysis tools and control schemes for neuronal systems. The field of hybrid systems has been built upon the theories of control and computer science. It has inherited control paradigms – including switching control systems and variable structure systems ...
Navarro Lopez, Eva; id_orcid 0000-0001-8762-6943 +2 more
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We define the field of hybrid systems neuroscience as the reformulation of hybrid system models, analysis tools and control schemes for neuronal systems. The field of hybrid systems has been built upon the theories of control and computer science. It has inherited control paradigms – including switching control systems and variable structure systems ...
Navarro Lopez, Eva; id_orcid 0000-0001-8762-6943 +2 more
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