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Robust Control Assignment Help

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Robust Control Assignment Help

Humans always strive for perfection in every aspect and before that they also imagine the cons of every step that they take and act accordingly. In scientific theory of control, robust control is one such approach.

But when you are given an assignment on this topic and you are not well aware of the other mechanisms and techniques of robust control, it becomes a bit difficult for anyone of us to make the assignment informative. So, it is smart to approach someone for Robust Control assignment help. We at BookMyEssay provide the best assignment paper help with years of experience under our belt and provide services to students across the globe at very student friendly prices.

But before we further delve more into the details for your Robust Control homework and assignment help, let take a bird’s eye view on robust control.

What do You Mean by Robust Control?

Scientifically speaking, robust control is a controller design method which focuses on the reliability of the control algorithm. But, before understanding robust control, you should know a bit about robustness. Now, the robust control theory timeline can be traced and broken down to two main areas-conventional and modern controls.

Various Techniques of Robust Control

Conventional control in based on the feedback theory which stabilizes the system which was proposed by Harold Stephen Black. It relied on the development of the model of a control system using differential equations. Some of the tools and techniques involved are-

  • System of adaptive control -This system sets up each significant state variable for the observers. The direct result is the closeness of the output to the desired input.
  • Hankel norms – They are used for the measurement of the control system properties. One of the norms is an abstract concept of length which gains energy in the system.
  • Parameter extension techniques -These techniques help in the establishment of boundaries in the domain of frequency that is required to maintain optimum stability.
  • Lypanov technique – This is a most widely accepted technique for the assessment of non-linear systems. Here, functions are evaluated along a trajectory to see the derivation in relation to the dissipation of energy.
  • Fuzzy control -It is based on the fuzzy sets construction which is used to describe the uncertainty inherent in the variables for the better combination of variables.

Purpose of Robust Control

Before you get to know the pros of hiring an expert for your Robust Control assignment writing help, you need to learn the purpose of robust control. It is a design that deals exclusively with uncertainty and rapid change in variables. This approach was designed to function properly provided that some uncertain variables or disturbances are always found in ever set of fixed variables. The robust methods main aim is to achieve steady performance, stability and reliability in the occurrence of inevitable and bounded modeling errors. This was a novice explanation of the robust control. The robust control methods are perfectly suited for applications where the stability and reliability of the systems are at the topmost priority.

Robust Control Application

Along with these criteria, process dynamics knowledge of the systems also matters and the estimated ranges of uncertainties of the variations of the system is also taken into account for robust control. Generally, aircraft and spacecraft controls widely rely on the robust control as there are a wide array of uncertainties and different unwanted variables come into play in there mechanisms.

In some process control applications, some occasional control systems are designed with the same principles of robust control mechanisms, especially in the processes that are critical and have a wide array of uncertainty ranges and marginal stability.

The timeline of the formation of robust control theory can be traced back to 1970s and early 1980s with the H-Infinity loop shaping developed by Duncan Mc Farlane and Keith Glover of Cambridge University. Some of the robust control techniques are quantitative feedback theory, passivity based control, and Lyapunov based control and many more.

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