do-mpc.com valuation and analysis

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Title Model predictive control python toolbox — do-mpc 4.5.0
Description do-mpc is a comprehensive open-source Python toolbox for robust model predictive control (MPC) and moving horizon estimation
Keywords N/A
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WebSite do-mpc favicondo-mpc.com
Host IP 3.33.152.147
Location United States
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do-mpc.com Valuation
US$3,123,369
Last updated: 2023-05-14 22:38:53

do-mpc.com has Semrush global rank of 3,388,746. do-mpc.com has an estimated worth of US$ 3,123,369, based on its estimated Ads revenue. do-mpc.com receives approximately 360,389 unique visitors each day. Its web server is located in United States, with IP address 3.33.152.147. According to SiteAdvisor, do-mpc.com is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$3,123,369
Daily Ads Revenue US$2,884
Monthly Ads Revenue US$86,494
Yearly Ads Revenue US$1,037,920
Daily Unique Visitors 24,026
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
do-mpc.com. A 600 IP: 3.33.152.147
do-mpc.com. A 600 IP: 15.197.142.173
do-mpc.com. NS 3600 NS Record: ns66.domaincontrol.com.
do-mpc.com. NS 3600 NS Record: ns65.domaincontrol.com.
HtmlToTextCheckTime:2023-05-14 22:38:53
latest Introduction Getting started: MPC Getting started: MHE Background Orthogonal collocation on finite elements Basics of model predictive control Basics of moving horizon estimation How to get it? License Installation Credit How to use it? FAQ API reference Release notes Example gallery Batch Bioreactor Continuous stirred tank reactor (CSTR) Industrial polymerization reactor Oscillating masses Double inverted pendulum Efficient data generation and handling with do-mpc Continuous stirred tank reactor (CSTR) - LQR do-mpc Docs » Model predictive control python toolbox Edit on GitHub Model predictive control python toolbox ¶ do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE) . do-mpc enables the efficient formulation and solution of control and estimation problems for nonlinear systems, including tools to deal with uncertainty and time discretization. The modular structure of do-mpc contains simulation,
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do-mpc.com Whois Information
Domain Name: DO-MPC.COM
Registry Domain ID: 2496265849_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.godaddy.com
Registrar URL: http://www.godaddy.com
Updated Date: 2020-03-27T10:06:34Z
Creation Date: 2020-02-24T11:03:21Z
Registry Expiry Date: 2022-02-24T11:03:21Z
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