# Novelty in Intelligent Controlled Oscillations in Smart Structures
## 4 Discussion  
This approach employs intelligent control techniques with a robust controller that minimizes the oscillations. Thus, a review of the parameters and their utilization in enhancing the system efficiency, as well as the system survey used to determine the crash resilience of the system. Considerable importance is attached to the disturbance rejection of smart structures that incorporate piezoelectric materials. This work contributes significantly to the reduction in oscillations. The initial modeling was performed using the finite element method. Subsequently, the equations for control theory are given. Equations (1)-(10) aid in the computation of the matrices for mass, damping, and stiffness as well as the matrices input to the electric charge matrix because of the piezoelectric patches. All registers were calculated by the authors. Both state-space domain analysis Equations (10)-(14) and frequency domain analysis Equations (15)-(33) were used. The results first show us the comparison of the two controllers. Initially, both controllers should make a reduction in the oscillations in relation to the results without control (this is carried out by both). The two controllers are then compared to each other to see which achieves the greatest reduction. By combining the H-infinity and H\({}_{2}\) methods within the simulated state-space and the frequency of characterization, this study examined the benefit of resilient control in intelligent systems. This study proposes a step-by-step method for generating and implementing stable controllers that are acceptable for intelligent structures. It proposes a robust approach for structural identification by strong control and deals with a state-space model and the frequency domain constructed from the output and input data of the structure. A controller for reducing vibrations is created using this control paradigm. The main concern of the theory is to control the variability of the system behavior. Vibration control techniques have been applied to minimize vibrations through dynamic disturbances, which are vital in mechanical systems, where operations might occur under stochastic loading scenarios. In this study, oscillations were completely suppressed, which was not achieved in earlier studies. In this work, two control techniques to suppress oscillations are employed, and a comparison is made. The results are good in both the frequency and state spaces. All calculations were performed with great accuracy owing to the optimized intelligent control systems. Although this topic has been discussed by several academics [1; 2; 3; 11; 35; 36], the current study's findings are superior to those of prior research [2; 3; 4; 14; 33; 36]. The advantages of this work include the following: MATLAB was used to program and manipulate the measurement noise from the beam condition to obtain the above results. The total oscillations were suppressed and simultaneously, the order of the controller was reduced. White noise was applied as the disturbance input, and its amplitude was described in terms of disturbances. This is aimed at the development of reliable controllers for smart structures with piezoelectric materials to address ambiguity and improve disturbance rejection. This study delves into the various methods and control techniques used to address this issue and provides a comprehensive description and analysis. The findings of this work hold substantial importance as they offer practical solutions to the widespread problem of oscillation reduction, which is a common concern in both the civil and mechanical engineering disciplines. The applications of this research are far-reaching, with potential uses in the stabilization of airplanes, metal bridges, and large metals. It should be noted that MATLAB codes are written by the article authors, and no code is off-the-shelf or taken from elsewhere. The finite element theory and advanced control theory were used.