5/7/2021 0 Comments Fuzzy Logic Control System
These networks are fuzzy-neuro systems with fuzzy controllers and tuners regulating learning parameters after each epoch to achieve faster convergence.Also, it will be a good idea to break the control system in smaller portions and use multiple fuzzy logic controllers distributed on the system, with each one carrying more responsibilities. 5) Fuzzy logic is capable of managing non-linear systems that would be difficult to manage mathematically.What Is Fuzzy Logic History of Fuzzy Logic Implementation of Fuzzy Logic System Why Fuzzy Logic Fuzzy Logic Sets How is Fuzzy Logic Used Fuzzy Logic Systems Architecture Characteristics of Fuzzy Logic When not to use fuzzy logic How is Fuzzy Logic different from conventional control methods Role of Fuzzy Logic in Algorithmic Trading Fuzzy Logic Applications Fuzzy vs Probability Advantages of Fuzzy Logic System Disadvantages of Fuzzy Logic System Summary What Is Fuzzy Logic The word fuzzy means things that are not very clear or vague.In real life, everyone comes across a situation where they cant decide if a statement is true or false.
Whenever such a scenario arrives, fuzzy logic provides valuable flexibility for reasoning by considering the uncertainties of the situation. Fuzzy logic helps in solving a particular problem after considering all the available data and then taking the suitable decision. The fuzzy logic method emulates the human way of decision making, which considers all the possibilities between digital values of True and False. History of Fuzzy Logic At first, the concept of Fuzzy Logic (FL) was introduced by Lotfi Zadeh. ![]() According to his observation, unlike other computers, Fuzzy Logic consists of a range of possibilities between T or F, in human decisions. Due to insufficient small-computer capability prior to that time, this approach was not applied until the 70s. Professor Zadeh concluded that people dont require exact numerical information and yet are able to have high adaptive control. Feedback controllers which are mathematical systems to analyze input values in terms of logical variables can be much more effective and easier to implement if they can be programmed to accept noise and imprecise input. Implementation of Fuzzy Logic System Fuzzy logic can be implemented in systems with different sizes and capabilities. For implementation, there should be a range of micro to macro controllers. Moreover, it can also be implemented in hardware or software or in a combination of both in Artificial Intelligence. Why Fuzzy Logic Generally, fuzzy logic systems can be used for practical and commercial purposes. Also, it can be used in Consumer products and control machines Dealing with uncertainty in engineering Giving at least acceptable reasoning if not accurate reasoning. Fuzzy Logic Control System Free Inputs AndApart from this, fuzzy logic offers various unique features that make it a perfect choice for controlling many problems: 1) It is intrinsically robust since it does not require fixed, noise-free inputs and can be programmed to fail safely if a feedback sensor quits or is destroyed. Despite a wide range of input variations, output control is the smooth control function. Fuzzy logic controller process user-defined rules and override the target control system. It can be altered easily to improve or boost system performance. By generating appropriate governing rules, new sensors can be easily generated into the system. Fuzzy logic is not limited to only one or two control outputs or few feedback inputs. ![]() Data from sensors that provide some system indication is enough. This will allow the sensors to be inexpensive and keeping the system cost low for the overall setup. Due to the rule-based operation, inputs of reasonable numbers like (1-6 or more) and numerous outputs like (1-4) can be generated. Although, defining the rules may become complex in case too many inputs and outputs are chosen for single implementation, since after defining rules, their interrelations must be defined. Also, it will be a good idea to break the control system in smaller portions and use multiple fuzzy logic controllers distributed on the system, with each one carrying more responsibilities. Fuzzy logic is capable of managing non-linear systems that would be difficult to manage mathematically.
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