Controlled Lagrangian Particle Tracking: Error Growth Under Feedback Control
نویسندگان
چکیده
منابع مشابه
Nemo: A parallelized Lagrangian particle-tracking model
Lagrangian particle-tracking models are a computationally intensive, but massively parallelizable method for investigating marine larval dispersal processes, seed dispersal of plants, or a variety of other material transport processes. In order to fully capture the distribution of potential dispersal patterns, highly efficient models with the capacity to simulate tens of millions or more partic...
متن کاملTracking Control of complementarity Lagrangian Systems
In this paper we study the tracking control of Lagrangian systems subject to frictionless unilateral constraints. The stability analysis incorporates the hybrid and nonsmooth dynamical feature of the overall system. The difference between tracking control for unconstrained systems and unilaterally constrained ones, is explained in terms of closed-loop desired trajectories and control signals. T...
متن کاملImage-based Lagrangian Particle Tracking in Bed-load Experiments
Image analysis has been increasingly used for the measurement of river flows due to its capabilities to furnish detailed quantitative depictions at a relatively low cost. This manuscript describes an application of particle tracking velocimetry (PTV) to a bed-load experiment with lightweight sediment. The key characteristics of the investigated sediment transport conditions were the presence of...
متن کاملExperimental control of a flexible link by the method of Controlled Lagrangian
The Controlled Lagrangian method is a branch of energy shaping methods that is designed to control underactuated mechanical systems. The method emp...
متن کاملControlled Lagrangian Methods and Tracking of Accelerated Motions
Matching techniques are applied to the problem of stabilization of uniformly accelerated motions of mechanical systems with symmetry. The theory is illustrated with a simple model—a wheel and pendulum system.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Control Systems Technology
سال: 2018
ISSN: 1063-6536,1558-0865
DOI: 10.1109/tcst.2017.2695161