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Octavius
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I have not seen any industry-grade application of fuzzy logic in space, flight, automotive control systems. Fuzzy logic came during mid-60s and it gradually faded away due to several reasons:

  1. It did not solve any control problem that cannot already be solved by the existing methods at that time. Bad news, no major advantage in terms of extending the application domain!

  2. It lacked theorems for proving stability, performance of closed-loop system. Bad news, not being so rigorous!

The second item is of utmost importance for safety-critical systems such as space, aviation, self-driving cars, surgical robotics, etc. You are not allowed to deploy an aircraft flying over cities before certifying its flight control system. When you put a fuzzy logic controller in the loop, how can you prove that the closed-loop system is stable? I mean, in the rigorous sense. FAA won't accept the ad-hoc hand-tuning, working experiment results as a certificate. You have to provide the operating conditions that fuzzy logic controller will not work.

Back to your question, nowadays, there are so many publishers in academia. Even if you do fuzzy logic research in robotics, of course, you can find a journal that will eventually accept your work. The real question is if someone will read your paper or adopt your methods for their own application.

A friendly advice, as a researcher, I would not invest my time to do research in fuzzy logic area. Control theory is already a mature field; and fuzzy logic is arguably NOT one of the fruitful sub-areas. I spent one year working on fuzzy logic during my undergraduate years. Then, I came to USA for my PhD and realized that most of control researchers in USA were not working on fuzzy logic anymore. Nonetheless, never say never! Maybe, you can contribute to the field and make it more widely used-used in the future.

I have not seen any industry-grade application of fuzzy logic in space, flight, automotive control systems. Fuzzy logic came during mid-60s and it gradually faded away due to several reasons:

  1. It did not solve any control problem that cannot already be solved by the existing methods at that time. Bad news, no major advantage in terms of extending the application domain!

  2. It lacked theorems for proving stability, performance of closed-loop system. Bad news, not being so rigorous!

The second item is of utmost importance for safety-critical systems such as space, aviation, self-driving cars, surgical robotics, etc. You are not allowed to deploy an aircraft flying over cities before certifying its flight control system. When you put a fuzzy logic controller in the loop, how can you prove that the closed-loop system is stable? I mean, in the rigorous sense. FAA won't accept the ad-hoc hand-tuning, working experiment results as a certificate. You have to provide the operating conditions that fuzzy logic controller will not work.

Back to your question, nowadays, there are so many publishers in academia. Even if you do fuzzy logic research in robotics, of course, you can find a journal that will eventually accept your work. The real question is if someone will read your paper or adopt your methods for their own application.

A friendly advice, as a researcher, I would not invest my time to do research in fuzzy logic area. Control theory is already a mature field; and fuzzy logic is arguably NOT one of the fruitful sub-areas. I spent one year working on fuzzy logic during my undergraduate years. Then, I came to USA for my PhD and realized that most of control researchers in USA were not working on fuzzy logic anymore. Nonetheless, never say never! Maybe, you can contribute to the field and make it more widely used in the future.

I have not seen any industry-grade application of fuzzy logic in space, flight, automotive control systems. Fuzzy logic came during mid-60s and it gradually faded away due to several reasons:

  1. It did not solve any control problem that cannot already be solved by the existing methods at that time. Bad news, no major advantage in terms of extending the application domain!

  2. It lacked theorems for proving stability, performance of closed-loop system. Bad news, not being so rigorous!

The second item is of utmost importance for safety-critical systems such as space, aviation, self-driving cars, surgical robotics, etc. You are not allowed to deploy an aircraft flying over cities before certifying its flight control system. When you put a fuzzy logic controller in the loop, how can you prove that the closed-loop system is stable? I mean, in the rigorous sense. FAA won't accept the ad-hoc hand-tuning, working experiment results as a certificate. You have to provide the operating conditions that fuzzy logic controller will not work.

Back to your question, nowadays, there are so many publishers in academia. Even if you do fuzzy logic research in robotics, of course, you can find a journal that will eventually accept your work. The real question is if someone will read your paper or adopt your methods for their own application.

A friendly advice, as a researcher, I would not invest my time to do research in fuzzy logic area. Control theory is already a mature field; and fuzzy logic is arguably NOT one of the fruitful sub-areas. I spent one year working on fuzzy logic during my undergraduate years. Then, I came to USA for my PhD and realized that most of control researchers in USA were not working on fuzzy logic anymore. Nonetheless, never say never! Maybe, you can contribute to the field and make it more widely-used in the future.

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Octavius
  • 377
  • 1
  • 7

I have not seen any industry-grade application of fuzzy logic in space, flight, automotive control systems. Fuzzy logic came during mid-60s and it gradually faded away due to several reasons:

  1. It did not solve any control problem that cannot already be solved by the existing methods at that time. Bad news, no major advantage in terms of extending the application domain!

  2. It lacked theorems for proving stability, performance of closed-loop system. Bad news, not being so rigorous!

The second item is of utmost importance for safety-critical systems such as space, aviation, self-driving cars, surgical robotics, etc. You are not allowed to deploy an aircraft flying over cities before certifying its flight control system. When you put a fuzzy logic controller in the loop, how can you prove that the closed-loop system is stable? I mean, in the rigorous sense. FAA won't accept the ad-hoc hand-tuning, working experiment results as a certificate. You have to provide the operating conditions that fuzzy logic controller will not work.

Back to your question, nowadays, there are so many publishers in academia. Even if you do fuzzy logic research in robotics, of course, you can find a journal that will eventually accept your work. The real question is if someone will read your paper or adopt your methods for their own application.

A friendly advice, as a researcher, I would not invest my time to do research in fuzzy logic area. Control theory is already a mature field; and fuzzy logic is arguably NOT one of the fruitful sub-areas. I spent one year working on fuzzy logic during my undergraduate years. Then, I came to USA for my PhD and realized that no onemost of control researchers in USA waswere not working on fuzzy logic anymore. Nonetheless, never say never! Maybe, you can contribute to the field and make it more widely used in the future.

I have not seen any industry-grade application of fuzzy logic in space, flight, automotive control systems. Fuzzy logic came during mid-60s and it gradually faded away due to several reasons:

  1. It did not solve any control problem that cannot already be solved by the existing methods at that time. Bad news, no major advantage in terms of extending the application domain!

  2. It lacked theorems for proving stability, performance of closed-loop system. Bad news, not being so rigorous!

The second item is of utmost importance for safety-critical systems such as space, aviation, self-driving cars, surgical robotics, etc. You are not allowed to deploy an aircraft flying over cities before certifying its flight control system. When you put a fuzzy logic controller in the loop, how can you prove that the closed-loop system is stable? I mean, in the rigorous sense. FAA won't accept the ad-hoc hand-tuning, working experiment results as a certificate. You have to provide the operating conditions that fuzzy logic controller will not work.

Back to your question, nowadays, there are so many publishers in academia. Even if you do fuzzy logic research in robotics, of course, you can find a journal that will eventually accept your work. The real question is if someone will read your paper or adopt your methods for their own application.

A friendly advice, as a researcher, I would not invest my time to do research in fuzzy logic area. Control theory is already a mature field; and fuzzy logic is arguably NOT one of the fruitful sub-areas. I spent one year working on fuzzy logic during my undergraduate years. Then, I came to USA for my PhD and realized that no one in USA was working on fuzzy logic anymore. Nonetheless, never say never!

I have not seen any industry-grade application of fuzzy logic in space, flight, automotive control systems. Fuzzy logic came during mid-60s and it gradually faded away due to several reasons:

  1. It did not solve any control problem that cannot already be solved by the existing methods at that time. Bad news, no major advantage in terms of extending the application domain!

  2. It lacked theorems for proving stability, performance of closed-loop system. Bad news, not being so rigorous!

The second item is of utmost importance for safety-critical systems such as space, aviation, self-driving cars, surgical robotics, etc. You are not allowed to deploy an aircraft flying over cities before certifying its flight control system. When you put a fuzzy logic controller in the loop, how can you prove that the closed-loop system is stable? I mean, in the rigorous sense. FAA won't accept the ad-hoc hand-tuning, working experiment results as a certificate. You have to provide the operating conditions that fuzzy logic controller will not work.

Back to your question, nowadays, there are so many publishers in academia. Even if you do fuzzy logic research in robotics, of course, you can find a journal that will eventually accept your work. The real question is if someone will read your paper or adopt your methods for their own application.

A friendly advice, as a researcher, I would not invest my time to do research in fuzzy logic area. Control theory is already a mature field; and fuzzy logic is arguably NOT one of the fruitful sub-areas. I spent one year working on fuzzy logic during my undergraduate years. Then, I came to USA for my PhD and realized that most of control researchers in USA were not working on fuzzy logic anymore. Nonetheless, never say never! Maybe, you can contribute to the field and make it more widely used in the future.

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Octavius
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I have not seen any industry-grade application of fuzzy logic in space, flight, automotive control systems. Fuzzy logic came during 70smid-60s and it gradually faded away due to several reasons:

  1. It did not solve any control problem that cannot already be solved by the existing methods at that time. Bad news, no major advantage in terms of extending the application domain!

  2. It lacked theorems for proving stability, performance of closed-loop system. Bad news, not being so rigorous!

The second item is of utmost importance for safety-critical systems such as space, aviation, self-driving cars, surgical robotics, etc. You are not allowed to deploy an aircraft flying over cities before certifying its flight control system. When you put a fuzzy logic controller in the loop, how can you prove that the closed-loop system is stable? I mean, in the rigorous sense. FAA won't accept the ad-hoc hand-tuning, working experiment results as a certificate. You have to provide the operating conditions that fuzzy logic controller will not work.

Back to your question, nowadays, there are so many publishers in academia. Even if you do fuzzy logic research in robotics, of course, you can find a journal that will eventually accept your work. The real question is if someone will read your paper or adopt your methods for their own application.

A friendly advice, as a researcher, I would not invest my time to do research in fuzzy logic area. Control theory is already a mature field; and fuzzy logic is arguably NOT one of the fruitful sub-areas. I spent one year working on fuzzy logic during my undergraduate years. Then, I came to USA for my PhD and realized that no one in USA was working on fuzzy logic anymore. Nonetheless, never say never!

I have not seen any industry-grade application of fuzzy logic in space, flight, automotive control systems. Fuzzy logic came during 70s and it gradually faded away due to several reasons:

  1. It did not solve any control problem that cannot already be solved by the existing methods at that time. Bad news, no major advantage in terms of extending the application domain!

  2. It lacked theorems for proving stability, performance of closed-loop system. Bad news, not being so rigorous!

The second item is of utmost importance for safety-critical systems such as space, aviation, self-driving cars, surgical robotics, etc. You are not allowed to deploy an aircraft flying over cities before certifying its flight control system. When you put a fuzzy logic controller in the loop, how can you prove that the closed-loop system is stable? I mean, in the rigorous sense. FAA won't accept the ad-hoc hand-tuning, working experiment results as a certificate. You have to provide the operating conditions that fuzzy logic controller will not work.

Back to your question, nowadays, there are so many publishers in academia. Even if you do fuzzy logic research in robotics, of course, you can find a journal that will eventually accept your work. The real question is if someone will read your paper or adopt your methods for their own application.

A friendly advice, as a researcher, I would not invest my time to do research in fuzzy logic area. Control theory is already a mature field; and fuzzy logic is arguably NOT one of the fruitful sub-areas. I spent one year working on fuzzy logic during my undergraduate years. Then, I came to USA for my PhD and realized that no one in USA was working on fuzzy logic anymore. Nonetheless, never say never!

I have not seen any industry-grade application of fuzzy logic in space, flight, automotive control systems. Fuzzy logic came during mid-60s and it gradually faded away due to several reasons:

  1. It did not solve any control problem that cannot already be solved by the existing methods at that time. Bad news, no major advantage in terms of extending the application domain!

  2. It lacked theorems for proving stability, performance of closed-loop system. Bad news, not being so rigorous!

The second item is of utmost importance for safety-critical systems such as space, aviation, self-driving cars, surgical robotics, etc. You are not allowed to deploy an aircraft flying over cities before certifying its flight control system. When you put a fuzzy logic controller in the loop, how can you prove that the closed-loop system is stable? I mean, in the rigorous sense. FAA won't accept the ad-hoc hand-tuning, working experiment results as a certificate. You have to provide the operating conditions that fuzzy logic controller will not work.

Back to your question, nowadays, there are so many publishers in academia. Even if you do fuzzy logic research in robotics, of course, you can find a journal that will eventually accept your work. The real question is if someone will read your paper or adopt your methods for their own application.

A friendly advice, as a researcher, I would not invest my time to do research in fuzzy logic area. Control theory is already a mature field; and fuzzy logic is arguably NOT one of the fruitful sub-areas. I spent one year working on fuzzy logic during my undergraduate years. Then, I came to USA for my PhD and realized that no one in USA was working on fuzzy logic anymore. Nonetheless, never say never!

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Octavius
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