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Vibration Suppression of CDPRs Based on Differential Flatness

2018 IEEE Conference on Control Technology and Applications (CCTA), 2018
Cable-Driven Parallel Robots (CDPRs) are well adaptable to various environment and are energy effective system since they use cables as actuators unlike conventional robots. However, a cable can generate only tensile force; therefore, it is necessary for its controller to maintain a positive tension all the time.
Jonghyun Yoon   +3 more
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On the differential flatness and control of electrostatically actuated MEMS

Proceedings of the 2005, American Control Conference, 2005., 2005
Extending the stable travelling range of actuators forms one of the central topics in the control of electrostatically actuated MEMS. Though certain control schemes, such as charge control, capacitive feedback, and input-output linearization, can extend the travelling range to the full gap, the transient behavior of actuators is dominated by their ...
Guchuan Zhu, Jean Lévine, Laurent Praly
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Jerk estimation for quadrotor based on differential flatness

2020 17th International Conference on Ubiquitous Robots (UR), 2020
In this work, we propose a method to estimate the inertial jerk of a multicopter vehicle using inertial measurement unit (IMU) measurements, without taking any time derivatives nor the need for motor rpm sensors. If an attitude estimate is not available, a jerk estimate expressed in the vehicle-fixed frame can still be obtained.
Juan Medrano   +6 more
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Application of legendrian foliations in differential flatness problems

2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
Instances of control systems are presented for which dynamical feedback linearizability can be assessed from differential forms of highest relative degree after some “contact” transformation has been applied. This bypasses the need to find a polynomial differential operator that leads to an integrable co-distribution.
Basile Graf, Philippe Müllhaupt
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Symmetric Exterior Differentiation and Flat Forms

Canadian Journal of Mathematics, 1962
Let ω be a continuous differential r-form defined in a bounded domain R of Euclidean n-space, En, where n ≧ 1 and 0 ≦ r ≦ n — 1. ω is called a flat form in R, (3, p. 263), if there exists a constant N such that for every (r + 1)-simplex σ contained in R, where |σ| designates the (r + 1)-volume of σ.
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Differential flatness of the flux-decay generator model

2015 10th System of Systems Engineering Conference (SoSE), 2015
This paper shows that the flux-decay model of a synchronous generator exhibits the property of differential flatness. Differential flatness will be utilized for planning the generator's trajectory as there is a one-to-one correspondence between output curves and trajectories for states and inputs.
Lucas Uecker, Kevin Wedeward
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Numerical search for local (partial) differential flatness

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Differential flatness is a property of certain systems that greatly simplifies the generation of optimal and dynamically feasible trajectories. Using a differentially flat model, there is no need to integrate the system dynamics to retrieve the states and the constraints of the optimization problem are simpler.
Carmelo Sferrazza   +2 more
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Differential Flatness Transformations for Aggressive Quadrotor Flight

2018 IEEE International Conference on Robotics and Automation (ICRA), 2018
Aggressive maneuvering amongst obstacles could enable advanced capabilities for quadrotors in applications such as search and rescue, surveillance, inspection, and situations where rapid flight is required in cluttered environments. Previous works have treated quadrotors as differentially flat systems, and this property has been exploited widely to ...
Benjamin Morrell   +7 more
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Differential Flatness Theory and Flatness-Based Control

2015
The chapter analyzes the concept of differential flatness theory-based control, both for lumped dynamical systems (that is for systems which are described by ordinary differential equations) and for distributed parameter systems (that is for systems which are described by partial differential equations).
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Differentiating between Hierarchical and Flat Communities

ACM SIGMETRICS Performance Evaluation Review
As data proliferate in the form of pairwise interactions or networks-from social media exchanges and physical infrastructures, like railways and the internet, to biological systems-extracting meaningful insights remains a significant challenge. Community detection is a pivotal task in this regard, viewing networks as groups of nodes.
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