A Kendama learning robot based on a dynamic optimization theory

2002 ◽  
Author(s):  
H. Miyamoto ◽  
F. Gandolfo ◽  
H. Gomi ◽  
S. Schaal ◽  
Y. Koike ◽  
...  
Keyword(s):  
Dynamic Optimization ◽  
Optimization Theory

The General Principle of Excess Burden Minimization of Overall Commodity Tax

2019 ◽  
Author(s):  
Jun Kong
Keyword(s):  
Dynamic Optimization ◽  
General Principle ◽  
Optimization Theory ◽  
Dynamic Processes ◽  
Tax Revenue ◽  
Excess Burden ◽  
Combination Methods ◽  
Graphic Analysis ◽  
Commodity Tax

<p><i>This study is therotical and aims to e</i><i>xplor</i><i>e</i><i> </i><i>the general principle of excess burden minimization</i><i> of </i><i>overall commodity tax</i><i> u</i><i>sing the combination methods of graphic analysis, deduction of number simulation, and dynamic optimization theory. This </i><i>study identifies</i><i> linearity characteristics formed by the links of tax revenue and excess burden</i><i> to verify</i><i> </i><i>the </i><i>individual</i><i> principle of excess burden minimization</i><i> of </i><i>overall commodity tax</i><i> by </i><i>concavity</i><i> </i><i>characteristics</i><i>.</i><b><i> </i></b><i>Moreover, t</i><i>he general principle of excess burden minimization</i><i> of </i><i>overall commodity tax</i><i> is further verified by </i><i>concavity</i><i> andlinear</i><i>ity</i><i> </i><i>characteristics</i><i>.</i><i> </i><i>The</i><b><i> </i></b><i>dynamic processes of excess burden minimization are changed </i><i>because of</i><i> the different features</i><i> of the links</i><i>.</i></p>

The General Principle of Excess Burden Minimization of Overall Commodity Tax

2019 ◽  
Author(s):  
Jun Kong
Keyword(s):  
Dynamic Optimization ◽  
General Principle ◽  
Optimization Theory ◽  
Dynamic Processes ◽  
Tax Revenue ◽  
Excess Burden ◽  
Combination Methods ◽  
Graphic Analysis ◽  
Commodity Tax

<p><i>This study is therotical and aims to e</i><i>xplor</i><i>e</i><i> </i><i>the general principle of excess burden minimization</i><i> of </i><i>overall commodity tax</i><i> u</i><i>sing the combination methods of graphic analysis, deduction of number simulation, and dynamic optimization theory. This </i><i>study identifies</i><i> linearity characteristics formed by the links of tax revenue and excess burden</i><i> to verify</i><i> </i><i>the </i><i>individual</i><i> principle of excess burden minimization</i><i> of </i><i>overall commodity tax</i><i> by </i><i>concavity</i><i> </i><i>characteristics</i><i>.</i><b><i> </i></b><i>Moreover, t</i><i>he general principle of excess burden minimization</i><i> of </i><i>overall commodity tax</i><i> is further verified by </i><i>concavity</i><i> andlinear</i><i>ity</i><i> </i><i>characteristics</i><i>.</i><i> </i><i>The</i><b><i> </i></b><i>dynamic processes of excess burden minimization are changed </i><i>because of</i><i> the different features</i><i> of the links</i><i>.</i></p>

scholarly journals A Low-Cost Resource Re-Allocation Scheme for Increasing the Number of Guaranteed Services in Resource-Limited Vehicular Networks

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3846 ◽  
Author(s):  
Yun Meng ◽  
Yuan Dong ◽  
Chunling Wu ◽  
Xinyi Liu
Keyword(s):  
Dynamic Optimization ◽  
Vehicular Networks ◽  
Optimization Problem ◽  
Low Cost ◽  
Dynamic Environment ◽  
Optimization Theory ◽  
Vehicular Network ◽  
Time Dynamic ◽  
Resource Limited ◽  
Guaranteed Services

Vehicular networks are becoming increasingly dense due to expanding wireless services and platooning has been regarded as a promising technology to improve road capacity and on-road safety. Constrained by limited resources, not all communication links in platoons can be allocated to the resources without suffering interference. To guarantee the quality of service, it is required to determine the set of served services at which the scale of demand exceeds the capability of the network. To increase the number of guaranteed services, the resource allocation has to be adjusted to adapt to the dynamic environment of the vehicular network. However, resource re-allocation results in additional costs, including signal overhead and latency. To increase the number of guaranteed services at a low-cost in a resource-limited vehicular network, we propose a time dynamic optimization method that constrains the network re-allocation rate. To decrease the computational complexity, the time dynamic optimization problem is converted into a deterministic optimization problem using the Lyapunov optimization theory. The simulation indicates that the analytical results do approximate the reality, and that the proposed scheme results in a higher number of guaranteed services as compared to the results of a similar algorithm.

scholarly journals Infinity Period Dynamic Control of a Kind of Channel’s Price and Brand Investment: A Differential Game Method

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Kaihong Wang ◽  
Li Cheng ◽  
Chuan Ding
Keyword(s):  
Control Problem ◽  
Differential Game ◽  
Dynamic Optimization ◽  
Stackelberg Game ◽  
Dynamic Control ◽  
Distribution Channel ◽  
Optimization Theory ◽  
Retail Price ◽  
Hamilton Function ◽  
Static Game

The infinity period dynamic control problem of distribution channel was studied with differential game approach. Four differential dynamic control models of coordinated channel game, uncoordinated static game, Stackelberg game with manufacture controlled, and Stackelberg game withnretailers controlled were constructed. Some results applied dynamic optimization theory made with Hamilton function. The conclusions are as follows. (1) Optimization brand investment controlled by manufacture has nothing to do with time. (2) Retail price was the most minimum when channel was integrated. (3) Manufacture’s profits of uncoordinated static game and Stackelberg game with manufacture controlled were more than Stackelberg game withnretailers controlled. (4) Retailer’s profits of Stackelberg game withnretailers controlled were less than Stackelberg game with manufacture controlled. (5) Channel’s total profits of Stackelberg game withnretailers controlled were the most minimum.

Dynamic Optimization of Human Walking

2001 ◽  
Vol 123 (5) ◽  
pp. 381-390 ◽  
Author(s):  
Frank C. Anderson ◽  
Marcus G. Pandy
Keyword(s):  
Dynamic Optimization ◽  
Gait Cycle ◽  
Three Dimensional ◽  
Optimization Theory ◽  
The Body ◽  
Metabolic Energy ◽  
Unit Distance ◽  
Terminal Constraints ◽  
Muscle Activations ◽  
The Right

A three-dimensional, neuromusculoskeletal model of the body was combined with dynamic optimization theory to simulate normal walking on level ground. The body was modeled as a 23 degree-of-freedom mechanical linkage, actuated by 54 muscles. The dynamic optimization problem was to calculate the muscle excitation histories, muscle forces, and limb motions subject to minimum metabolic energy expenditure per unit distance traveled. Muscle metabolic energy was calculated by summing five terms: the basal or resting heat, activation heat, maintenance heat, shortening heat, and the mechanical work done by all the muscles in the model. The gait cycle was assumed to be symmetric; that is, the muscle excitations for the right and left legs and the initial and terminal states in the model were assumed to be equal. Importantly, a tracking problem was not solved. Rather, only a set of terminal constraints was placed on the states of the model to enforce repeatability of the gait cycle. Quantitative comparisons of the model predictions with patterns of body-segmental displacements, ground-reaction forces, and muscle activations obtained from experiment show that the simulation reproduces the salient features of normal gait. The simulation results suggest that minimum metabolic energy per unit distance traveled is a valid measure of walking performance.

A Study on the Contour of the Radial Tire: Rolling Contour Optimization Theory — RCOT

1987 ◽  
Vol 15 (1) ◽  
pp. 3-29 ◽  
Author(s):  
K. Yamagishi ◽  
M. Togashi ◽  
S. Furuya ◽  
K. Tsukahara ◽  
N. Yoshimura
Keyword(s):  
Fuel Efficiency ◽  
Optimization Theory ◽  
Radial Tire ◽  
Braking Performance ◽  
Equilibrium Profiles ◽  
Natural Equilibrium

Abstract The Rolling Contour Optimization Theory (RCOT) can lead to improved steering, fuel efficiency, riding comfort, and braking performance of tires relative to those of conventional shape. The conventional shape has been guided by natural equilibrium profiles, while the RCOT technology shape is guided by that of the tire in motion. This reduces useless distortions caused by running the tire under load. The RCOT design focuses on the distribution of belt and sidewall tension in the tire. Controlling tension in the belt and carcass area while the tire is in motion was the key to creating this new tire shape.

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