ZIERING;DAVIDBusiness Directories,Company Directories

Company Name: Corporate Name:	ZIERING;DAVID
Company Title:	ziering.info
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Company Address:	127 Granniss Avenue,MILLINGTON,NJ,USA
ZIP Code: Postal Code:	7946
Telephone Number:	9734289131^^9736279800 (+1-973-428-9131^^9736279800)
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Website:	ziering. info
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USA SIC Code(Standard Industrial Classification Code):	9999
USA SIC Description:	Unclassified
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Distributed optimal control for continuous-time nonaffine nonlinear . . .
In this paper, a new distributed optimal control strategy for continuous-time nonaffine nonlinear systems with unknown dynamics is presented
Distributed optimal control for continuous-time nonaffine nonlinear . . .
In Bian et al (2014), an ADP method has been developed for both known and unknown nonafine nonlinear systems, and in Esfandiari et al (2017), Esfandiari et al have proposed an adaptive
Distributed Optimal Coordination Control for Continuous-Time Nonlinear . . .
This paper is concerned with an optimal coordination control problem for nonlinear multi-agent systems (MASs) with constraints of the control inputs The idea o
Distributed optimal control for continuous-time nonaffine nonlinear . . .
In this paper, a new distributed optimal control strategy for continuous-time nonaffine nonlinear systems with unknown dynamics is presented
Distributed optimal control for continuous-time nonaffine nonlinear . . .
In this paper, a new distributed optimal control strategy for continuous-time nonaffine nonlinear systems with unknown dynamics is presented
Distributed optimal control of nonlinear multi‐agent systems based on . . .
Abstract In this article, a distributed optimal control approach is proposed for a class of affine nonlinear multi-agent systems (MASs) with unknown nonlinear dynamics
A Unified Framework for Continuous-Time Unconstrained Distributed . . .
We show that many of the existing algorithms for solving distributed optimization are instances of this dynamics, and hence their convergence properties can follow from its properties In this sense, the proposed method establishes a unified framework for distributed optimization in continuous time
Distributed optimal control for continuous-time nonaffine . . .
Article "Distributed optimal control for continuous-time nonaffine nonlinear interconnected systems" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency (hereinafter referred to as "JST")