Control Strategies for Unmanned Underwater Vehicles

1998 ◽  
Vol 51 (1) ◽  
pp. 79-105 ◽  
Author(s):  
Paul J. Craven ◽  
Robert Sutton ◽  
Roland S. Burns
Keyword(s):  
Artificial Intelligence ◽  
Design Problem ◽  
Control Strategies ◽  
Underwater Vehicles ◽  
Comprehensive Review ◽  
Unmanned Underwater Vehicles ◽  
Artificial Intelligence Techniques ◽  
The World ◽  
Offshore Industry ◽  
Modern Control

In recent years, both the offshore industry and the navies of the world have become increasingly interested in the potential operational usage of unmanned underwater vehicles. This paper provides a comprehensive review of a number of modern control approaches and artificial intelligence techniques which have been applied to the autopilot design problem for such craft.

scholarly journals Development of Deterministic Artificial Intelligence for Unmanned Underwater Vehicles (UUV)

2020 ◽  
Vol 8 (8) ◽  
pp. 578
Author(s):  
Timothy Sands
Keyword(s):  
Artificial Intelligence ◽  
Differential Equations ◽  
Underwater Vehicles ◽  
Stochastic Methods ◽  
Self Awareness ◽  
Final States ◽  
Final Time ◽  
Unmanned Underwater Vehicles ◽  
Sinusoidal Functions ◽  
Buoyancy Control

The major premise of deterministic artificial intelligence (D.A.I.) is to assert deterministic self-awareness statements based in either the physics of the underlying problem or system identification to establish governing differential equations. The key distinction between D.A.I. and ubiquitous stochastic methods for artificial intelligence is the adoption of first principles whenever able (in every instance available). One benefit of applying artificial intelligence principles over ubiquitous methods is the ease of the approach once the re-parameterization is derived, as done here. While the method is deterministic, researchers need only understand linear regression to understand the optimality of both self-awareness and learning. The approach necessitates full (autonomous) expression of a desired trajectory. Inspired by the exponential solution of ordinary differential equations and Euler’s expression of exponential solutions in terms of sinusoidal functions, desired trajectories will be formulated using such functions. Deterministic self-awareness statements, using the autonomous expression of desired trajectories with buoyancy control neglected, are asserted to control underwater vehicles in ideal cases only, while application to real-world deleterious effects is reserved for future study due to the length of this manuscript. In totality, the proposed methodology automates control and learning merely necessitating very simple user inputs, namely desired initial and final states and desired initial and final time, while tuning is eliminated completely.

scholarly journals Blockchain Technology and its Impact on the Global Economy

2019 ◽  
Author(s):  
Burcu Sakız ◽  
Ayşen Hiç Gencer
Keyword(s):  
Artificial Intelligence ◽  
At Risk ◽  
Global Economy ◽  
World Economy ◽  
Financial Institution ◽  
The Internet ◽  
Valuable Resource ◽  
Artificial Intelligence Techniques ◽  
Blockchain Technology ◽  
The World

The world’s most valuable resource is no longer oil, but data. Smartphones and the internet have made data abundant, ubiquitous and far more valuable. Modern algorithms can predict when a customer tends to buy, a car needs servicing or a person is at risk of a disease. Meanwhile, artificial intelligence techniques extract more value from data. As individuals accumulate information which transforms into knowledge, entrepreneurs will want to use and/or share that knowledge. It is the sharing of knowledge that needs a decentralized, autonomous mechanism so that knowledge can be shared fairly amongst all peoples of the world, not just within corporations. Blockchain technology gives us that mechanism. Blockchain is one of a kind decentralized technology and it is distributed as well as decentralized ledger. Blockchain is the answer to a lot of obstacles the world has to go through today. Before today, nobody could think of transferring money from one account to another safely without any financial institution in the middle, like a bank. Blockchain technology presents a radical and disruptive new way of conducting all manner of transactions over the Internet. The advent of Bitcoin and the blockchain has brought a lot of change to the world of finance even the world economy was formerly run using fiat currencies. Introducing the blockchain environment will actually enhance the economics because in blockchain, all transactions are recorded right from the manufacturer to the buyer. This paper explores the emerging landscape for blockchain technology focusing on the economics.

scholarly journals Control of DC Motors to Guide Unmanned Underwater Vehicles

2021 ◽  
Vol 11 (5) ◽  
pp. 2144
Author(s):  
Timothy Sands
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
Underwater Vehicles ◽  
Modeling Method ◽  
Superior Performance ◽  
Alternative Methods ◽  
Self Awareness ◽  
Square Wave ◽  
Unmanned Underwater Vehicles ◽  
Art Methods

Many research manuscripts propose new methodologies, while others compare several state-of-the-art methods to ascertain the best method for a given application. This manuscript does both by introducing deterministic artificial intelligence (D.A.I.) to control direct current motors used by unmanned underwater vehicles (amongst other applications), and directly comparing the performance of three state-of-the-art nonlinear adaptive control techniques. D.A.I. involves the assertion of self-awareness statements and uses optimal (in a 2-norm sense) learning to compensate for the deleterious effects of error sources. This research reveals that deterministic artificial intelligence yields 4.8% lower mean and 211% lower standard deviation of tracking errors as compared to the best modeling method investigated (indirect self-tuner without process zero cancellation and minimum phase plant). The improved performance cannot be attributed to superior estimation. Coefficient estimation was merely on par with the best alternative methods; some coefficients were estimated more accurately, others less. Instead, the superior performance seems to be attributable to the modeling method. One noteworthy feature is that D.A.I. very closely followed a challenging square wave without overshoot—successfully settling at each switch of the square wave—while all of the other state-of-the-art methods were unable to do so.

Applied Intelligence for Mental Health Detection

2022 ◽  
pp. 80-91
Author(s):  
Kartik Pinakin Desai ◽  
Mihir Akshay Shah ◽  
Mansi Chetan Lapasia ◽  
Sonali Atulkumar Patil ◽  
Sujata P. Pathak
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Heart Failure ◽  
Psychiatric Disorder ◽  
Psychological Health ◽  
Slow Rate ◽  
Healthcare Sector ◽  
Artificial Intelligence Techniques ◽  
The World ◽  
Severe Anxiety

Mental health is a major healthcare issue around the world, and it must be made a priority in the healthcare sector. That being said, it seems that progress in this area is moving at a slow rate. These conditions aren't always difficult to live with, but they also put you at risk for heart failure, severe anxiety, and depression, leading to serious stress and physical disability. In middle and upper nations, a majority of people deal with at least one of these psychiatric disorders at a certain stage in their lives. Artificial intelligence techniques have recently received a lot of attention in a variety of areas, including psychological health. A personalized therapy that aims to deliver emotional support to a particular person has to be enabled with the help of specialized artificial intelligence methods and ML algorithms. The aim of this chapter is to evaluate and create a system that assists a person in predicting and curing his or her psychiatric disorder using various artificial intelligence concepts and strategies, thus assisting people in curing their problems.

scholarly journals The impacts of artificial intelligence techniques in augmentation of cybersecurity: a comprehensive review

2021 ◽  
Author(s):  
Binny Naik ◽  
Ashir Mehta ◽  
Hiteshri Yagnik ◽  
Manan Shah
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Potential Field ◽  
Comprehensive Review ◽  
Artificial Intelligence Techniques ◽  
Distributed Ai ◽  
Cyber Threats ◽  
Blockchain Technology ◽  
Central Purpose ◽  
Behavioral Analytics

AbstractGiven the prevailing state of cybersecurity, it is reasonable to understand why cybersecurity experts are seriously considering artificial intelligence as a potential field that can aid improvements in conventional cybersecurity techniques. Various progressions in the field of technology have helped to mitigate some of the issues relating to cybersecurity. These advancements can be manifested by Big Data, Blockchain technology, Behavioral Analytics, to name but a few. The paper overviews the effects of applications of these technologies in cybersecurity. The central purpose of the paper is to review the application of AI techniques in analyzing, detecting, and fighting various cyberattacks. The effects of the implementation of conditionally classified “distributed” AI methods and conveniently classified “compact” AI methods on different cyber threats have been reviewed. Furthermore, the future scope and challenges of using such techniques in cybersecurity, are discussed. Finally, conclusions have been drawn in terms of evaluating the employment of different AI advancements in improving cybersecurity.

scholarly journals A Comprehensive Review on Artificial Intelligence Techniques for Covid-19 Pandemic

2021 ◽  
Vol 8 (1) ◽  
pp. 17-24
Author(s):  
Anisha C. D ◽  
Saranya K. G
Keyword(s):  
Artificial Intelligence ◽  
Drug Discovery ◽  
World Wide ◽  
Contact Tracing ◽  
Comprehensive Review ◽  
Artificial Intelligence Techniques

The pandemic situation due to the emergence of Covid-19 presents various problems physically, economically and mentally for the individuals world-wide, therefore faster solutions with wider access is essential to solve the problems which aids as a support to the healthcare. This is made possible through the incorporation of Artificial Intelligence (AI) technology to handle the situation of pandemic. This paper aims to present a comprehensive re-view of the applications employed using AI for the problems faced during Covid-19 pandemic. The AI applications involved in screening, predicting, forecasting, neighborhood contact tracing and drug discovery of Covid-19 are addressed in this review. This review also presents detailed working of AI algorithms in each application. This paper helps the researchers with vivid information of AI applications of Covid-19 pandemic.

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