The phrase "a robust guarantee" is grammatically correct and commonly used in written English.
It conveys the idea of a strong or reliable assurance or promise. Here are some examples of when you can use it: 1. "Our company prides itself on providing a robust guarantee for our products, ensuring our customers' satisfaction." 2. "The contract includes a robust guarantee that the deadline will be met, or the client will receive a full refund." 3. "Investing in this new security system comes with a robust guarantee of protection for your home or business." 4. "The company's CEO gave a speech assuring investors of a robust guarantee of profits for the next fiscal year." 5. "Conducting thorough research before making a purchase is always a good idea, but it's especially important when there is no robust guarantee offered."
In the paper a new robust guaranteed cost output-feedback gain-scheduled PID controller design technique is presented for affine linear parameter-varying systems under polytopic model uncertainty, with the assumption that the scheduled parameters are affected with absolute uncertainty.
The problem that is addressed in this study is to design a decentralized robust guaranteed cost state feedback controller such that the closed-loop system is not only regular, impulse-free and stable, but also guarantees an adequate level of performance for all admissible uncertainties.
Then, an optimal robust guaranteed cost controller is developed to minimize the upper bound of performance level.
On the basis of a descriptor type model transformation, an augmented descriptor form Lyapunov Krasovskii functional is proposed in order to derive a linear matrix inequality (LMI) condition of the synthesis of a robust stabilizing guaranteed cost controller for uncertain nonlinear neutral systems.
Then, a design method of robust guaranteed cost state feedback controller for uncertain sampled-data fuzzy systems is proposed.
A sufficient condition for the existence of the decentralized robust guaranteed cost state feedback controllers is proposed in terms of a linear matrix inequality (LMI) via LMI approach.
This paper considers the problem of robust guaranteed cost controller design for a class of nonlinear systems subject to time-varying and norm-bounded uncertainties in both state and input matrices.
This course studies systematically alternatives to traditional worst-case analysis that nevertheless enable rigorous and robust guarantees on the performance of an algorithm.
The decentralized robust guaranteed cost control problem is studied for a class of interconnected singular large-scale systems with time-delay and norm-bounded time-invariant parameter uncertainty under a given quadratic cost performance function.
This hybrid control strategy utilizes a robust controller for guaranteed robustness when the plant model is not well known, and employs an adaptive controller for high performance after sufficient plant information has been collected.
