Profile cover photo
You're now following
Error following user.
This user does not allow users to follow them.
You are already following this user.
Your membership plan only allows 0 follows. Upgrade here.
Successfully unfollowed
Error unfollowing user.
You have successfully recommended
Error recommending user.
Something went wrong. Please refresh the page and try again.
Email successfully verified.
User Avatar
$15 USD / hour
Flag of BRAZIL
valinhos, brazil
$15 USD / hour
It's currently 3:21 AM here
Joined August 14, 2020
1 Recommendation

Mauricio B.

@mauriciobordon

annual-level-three.svg
5.0 (5 reviews)
2.7
2.7
75%
75%
$15 USD / hour
Flag of BRAZIL
valinhos, brazil
$15 USD / hour
83%
Jobs Completed
100%
On Budget
100%
On Time
20%
Repeat Hire Rate

Electrical Engineer Teaching and Projects

I have a graduate degree in electrical engineering and a master's degree in automation and control systems with neural networks. My experience is focused on teaching the disciplines of modeling and control of dynamic systems, electrical and electronic circuits and electrical protection of buildings and energy systems. I also developed some electrical and electronic engineering projects with application in teaching in engineering courses. I have been studying neural networks and control systems for 25 years, with more than 10 articles published in the areas of computational data modeling, state control and estimation, sliding mode control and neural networks.

Contact Mauricio B. about your job

Log in to discuss any details over chat.

Portfolio

8290334
8290334

Reviews

Changes saved
Showing 1 - 5 out of 5 reviews
Filter reviews by:
5.0
€20.00 EUR
Thanks a lot Thanks
L
Flag of Lokass M.
@Lokass
•
3 years ago
5.0
$40.00 USD
This man is a genius! VERY VERY good and professional work. He is extremely knowledgeable and organized. HIGHLY RECOMMENDED 5 stars.
Engineering
Matlab and Mathematica
Electrical Engineering
Academic Research
+1 more
N
Flag of James B.
@nerdco
•
3 years ago
5.0
$40.00 USD
Good and satisfactory work.
Engineering
Matlab and Mathematica
Electrical Engineering
Academic Research
+1 more
S
Flag of Systemic K.
@systematickid
•
3 years ago
5.0
$80.00 USD
Went above and beyond. Definitely worth the hire
Engineering
Mechanical Engineering
Control System Design
T
Flag of Tommy S.
@tommywha
•
3 years ago
5.0
$40.00 USD
very good, professional, cheap prices, smart. 5 stars, perfection !
Engineering
Matlab and Mathematica
Electrical Engineering
N
Flag of James B.
@nerdco
•
3 years ago

Experience

Engineering Professor

Herminio Ometto Foundation
Mar 2013 - Aug 2020 (7 years, 5 months)
Renewable Energy academic project coordination with participation of Engineering students. Professor on Control Systems, Electric Circuits and Electronic Circuits disciplines.

Engineering Professor

Padre Anchieta Teaching Society
Mar 2010 - Feb 2018 (7 years, 11 months)
Professor of Electronic Engineering, Food Engineering and Civil Engineering courses, in the disciplines of Control Systems, Power Electronics, Modeling and Simulation of Processes, Startup and Control of Electrical Machines, Building Electrical Energy Systems.

Engineering Professor

San Francisco University
Aug 2001 - Dec 2009 (8 years, 4 months)
Electrical Engineering course coordinator for six years. Professor of Electrical Engineering, Mechanical Engineering and Civil Engineering courses, in the disciplines of Control Systems, Linear Systems Analysis, Electronics, Electrical Machines, Electric Machines and Electronics Laboratory, Energy Conversion, Building Electrical Energy Systems.

Education

Masters in Control and Electronic Instrumentation

Universidade Estadual Paulista 'Júlio de Mesquita Filho', Brazil 1993 - 1995
(2 years)

Publications

Neural-Sliding Control with CMAC in Variable Structure Systems

1999 Mechanical Engineering Brazilian Conference - COBEM99
This work proposes a new method of dynamical control systems implementation using the Cerebellar Model Articulation Controller (CMAC) neural network as part of a variable structure system to achieve a low cost controller that guarantees robustness with respect to non-idealities in the control system. Furthermore, if allegedly unknown plant parameters change due to environment interaction, the resultant dynamics is invariant.

Intelligent Robust Control Based on the Cerebellar Model Articulation Controller

IV Brazilian Symposium on Intelligent Automation - SBAI99
Using a CMAC based on line identification scheme, the probIem of robust control of dynamical systems subject to parameter disturbances is treated supposing complete access to plant state variables. Controller intelligence is evidenced by the fact of stable steady state behaviour achievement, without knowledge about the pIant model other than its order and structure.

Quasi-invariant Stable Multivariable CMAC Variable Structure Neurocontrol

International Joint Conference on Neural Networks - IJCNN99
A quasi-invariant intelligent control method for partially unknown dynamical systems stabilization is proposed. The hability of a CMAC network in the reproduction of arbitrary functions is used to on line approximation of plant parameters related information in order to satisfy the existence conditions of a sliding mode regime in a set of discontinuity surfaces without the knowledge of plant model other than system order and structure.

Stabilization of an Inverted Pendulum with CMAC in a Variable Structure Controller

1999 American Control Conference – ACC99
The hability of CMAC in the reproduction of arbitrary functions is used to approximate an unknown system dynamics in order to satisfy the existence conditions of a sliding mode in a discontinuity surface without the knowledge of plant parameters. If the system is written in a controllable canonical form, designing a discontinuity surface is not dependent on the coefficients of A matrix and the complete access to the state of the plant is enough to guarantee the robustness of the controller.

Discrete Time Sliding Mode Realization of Observer Based Control with CMAC

10th Mediterranean Conference on Control and Automation - MED02
The control of a discrete time linear system through a sliding mode realization of a reduced order observer based state feedback is addressed. In this type of control it is not uncommon high amplitude state trajectories and inputs to appear and, in this context, a new application of a CMAC neural network is proposed: to reduce the magnitude of control inputs. Simulations show the effectiveness of this approach.

Contact Mauricio B. about your job

Log in to discuss any details over chat.

Verifications

Preferred Freelancer
Identity Verified
Payment Verified
Phone Verified
Email Verified
Facebook Connected

Certifications

us_eng_1.png US English 1 75%
Previous User Next User
Invite sent successfully!
Thanks! We’ve emailed you a link to claim your free credit.
Something went wrong while sending your email. Please try again.
Registered Users Total Jobs Posted
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Loading preview
Permission granted for Geolocation.
Your login session has expired and you have been logged out. Please log in again.