Machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems PhD or MSc by Research

Doctoral and postdoctoral

The total service fee for this program:

€ 499

Pre payment for this program:

€ 99

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This program has OFFER event

Discount event for this program

Mie exceptional discounts

The amount of discount for this event

100 €

The total service fee for this program after discount:

€ 399

ABOUT

Studying PhD of machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems at Cranfield University in the United Kingdom:

 

This course is suitable for those who are interested in pursuing a PhD or MSc by Research in machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems.

Factors are important in areas such as robotics, autonomous driving, and aerospace include the design of controllers, policies to guarantee a target behavior, and the analysis of the stability of autonomous systems. It is noteworthy that most nonlinear systems usually stabilize in a specific area around the equilibrium point called the ROA, which is unlike linear time invariant systems because their stability can be analyzed globally. Therefore, we need knowledge of the stability area because it improves the efficiency of the controller design.

The metric used to measure system robustness is ROA, which is also used to indicate the degree of disturbance of the initial state away from the expected steady state. Just keep in mind that a real dynamic system may have several stable equilibrium points, so we need to determine the ROA for a particular case.

Sometimes it may be impossible to find the exact ROA of a nonlinear and complex system numerically and analytically. On the other hand, the use of adaptive and / or reinforcing learning control policies as well as linear filters complicates the problem. The aim of this course is to develop a numerical approach to estimate ROA and design a control algorithm.

Upon admission, students will enjoy a professional, focused, and dynamic environment and become part of the Cranfield Doctoral Network. The network is made up of research staff and students and provides a platform for researchers to collaborate in a multidisciplinary environment and share their ideas. The purpose of forming this network is to encourage a dynamic and effective research culture based on knowledge and diversity of activities. The transferable skills curriculum, along with a dedicated program of events and seminars, provides students with the opportunity to network and gain social opportunities.

 

Admission requirements of doctoral degree in machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems:

 

This course is offered in both PhD and MSc by Research. Students can enter the course to take any of these qualifications, which are held full-time. Successful completion of the PhD course takes three years and the MSc by Research course takes one year.

To study this course, students must have a first or second class UK honours degree (or equivalent) in engineering, physics, mathematics, or another related area.

Duration / Date(s): PhD: 3 years; MSc by Research: 1 year

 

Language requirements of doctoral degree in machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems:

 

To study the course, students must demonstrate their ability to communicate in English. They can apply for one of the Cranfield’s EAP courses, if they do not meet expectations of the English language arrival. The expiration date for the exams is only two years of the course start date. Combination of scores in two or more tests is not accepted, all elements of test results must be shown in one test. All test scores are checked with test providers. Applicants must have at least IELTS 7 (5.5 in all skill components), TOEFL IBT 100 (reading at least 18, listening at least 17, writing at least 17, speaking at least 20), Pearson PTE 68 (59 in all skill components), Cambridge Assessment English 190 (160 in all skill components), overall pass in Trinity College London, or overall pass in Language Cert (33 in all skill components).

 

Other living expenses needed for studying doctoral degree in machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems:

 

Single student

  • Accommodation: £500-£1000/Month
  • Food: £260-£325/Month
  • Travel: £40-£50/Month
  • General expenses*: £150-£200/Month

Couples and families

Accommodation:

  • Couple: £2,500
  • Couple with one child: £2,700
  • Couple with two children: £3,000
  • Couple with three children: £3,200

Additional guidance

  • Food: £70-£80/weakly per one person
  • Clothing and laundry:

Weekly launderette for one person: £5-£8

Winter clothing estimate for one person: £350-£450

  • Television: £159/year

 

University Deadlines:

20 Apr 2023

FREE VISA SERVICE

One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request

Expenses (GBP)

Tuition

21740

GBP

Application Fee

0

GBP

Program expenses

University & General Expenses

REQUIREMENTS

Minimum Level of Education
Min GPA (max=100)

50

PTE
68.00
IELTS
7.00
TOEFL iBT
100.00

accommodation

The School of Water, Energy and Environment, the School of Aerospace, Transport and Manufacturing, and the School of Management are located on the Cranfield Campus, as well as many industrial-scale facilities for research.
There are many facilities on Cranfield Campus, including: student accommodation options, two hotels with full accommodation and conference and banqueting facilities, sports and recreation facilities, and a private airport. Cranfield Campus sports facilities include several tennis courts sports pitches, playing fields, an aerobics stadium, and a fitness center.
Students admitted to a full-time course can apply for on-campus accommodation. They will also be able to find private housing off campus in nearby areas. Cranfield Campus has 1,466 single rooms, 75 studio apartments for couples, and 97 family homes including two-bedroom, three-bedroom, and four-bedroom houses. All dormitories have Wi-Fi internet connection. All students will benefit from Endsleigh insurance, which covers the risks that may occur while living in student accommodation.
Cranfield University provides many opportunities for students to participate in a various range of societies and clubs, such as the Musicians Society, Astronomical Society, and Basketball Club. The Cranfield Student Association is managed by a team of selected students. It is also supported by a small team of staff. Its purpose is to promote student welfare and to organize cultural, social, and sporting activities.
Cranfield has a wealthy collection of library resources and services to support students’ academic work. This collection has nearly 200 academic and leading commercial databases which provide access to in-depth application topics and current information related to the subject under study. It also has more than 22,000 e-journals, as well as core collections of reports, magazines, books, and a range of current awareness services.
Cranfield provides support, services and systems, whether industry-leading software and high-performance computing capabilities or network access. It offers a high-speed, wireless network to provide students with the opportunity to access a wealth of online services. Cranfield IT services are available 24 hours a day, 7 days a week, on and off campus, and gives students access anytime, anywhere.

After Graduation

Students will benefit from Cranfield Career Development Services, which have a variety of aspects and functions, from providing 1: 1 coaching to connecting with employers. Students will have access to some key resources before entering the university to prepare their resume for the recruitment season. Upon arrival they will be able to join workshops to create their own professional profile and start applying for vacancies. During the year, Cranfield organizes events, careers fairs, and client presentations to present job opportunities and networking, where students attend interviews and negotiate proposals.
From 1 July 2021, the British Government has launched a new route for international graduates to increase their employment opportunities in the UK. This route welcomes all international students who have successfully completed their course at Cranfield. This visa allows MSc graduates for two years and doctoral graduates for three years to work or search in any position or job they wish and it can be converted to a skilled work visa after finding a job in

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Title:

Major:

Level:

University:

Country:

Machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems PhD or MSc by Research

Aerospace,aviation and pilot technology

Doctoral and postdoctoral

Cranfield University

United Kingdom

399
Mie exceptional discounts(100 € )
499
100
99
300
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  • For applicants under the age of 18, parents or legal guardian must sign the agreement, and if the applicant under the age of 18 signs the agreement, it is considered as invalid.

One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request

Tuition
Deadline

21740

Deadline

Application Fee

Deadline

0

Deadline
Minimum Level of Education
Min GPA (max=100)

50