Robust controller numerical design for reinforced concrete structures under seismic excitation conditions

The article discusses driver optimization design issues that combine the evolution of artificial intelligence of the bat optimization algorithm with fuzzy drivers to enable practical applications in construction. The designation of system controllers includes various subsections such as initial system parameters, EB optimization algorithm, cloud controllers, stability analysis


INTRODUCTION
A detailed inspection covers the effects and potential hazards of damaging hazards such as earthquakes and construction disturbances. The basic control frame contains a dynamic wet mass that absorbs sudden moisture and prevents gusts of wind from rising to tall structures. Given the important human considerations, experimental research on vibration control structures is expected to be completed as part of the Morning Warning of Earthquakes. Over the past two decades, a great deal of research has been done and applied to the development , generation, testing and implementation of

A R T I C L E I N F O A B S T R A C T
44 active, semi-active and sub-hybrid regulations. The vibrations are damped by excited unstable structures. The use of external power supplies is an important part of the power dynamism and the dynamics of the linking activity. Multiple inspections have shown that dynamic gadgets have been tested as vibration dampers to reduce structural vibration (e.g. Connor, 2003;Yanıketal ., 2018;Adeli and Jiang)., 2006;Jiang and Adeli, 2005;Muhammad et al. 2018;Zhou et al. 2015Jin et al. 2018Li et al. 2017Chang et al. , 2019. Dynamic mode control is fully applicable to multi-degree structures of freedom as the response is performed in a general manner. External power supplies are inefficient, require no control framework, are increasingly cost effective, and facilitate application planning. While various ratings and their strategies have been approved and proposed , most of the research concerns the practical applications and methods of fleet regulation. Robust control problems can be divided into linear transform systems and other problems, including time invariant or nonlinear. In general, nonlinear systems can be thought of as nonlinear nonlinear systems. In other words, the problem of nonlinear control can be solved by the robust force method. In other words, reliable design methods can be used to design nonlinear controllers if the nonlinear model can be considered a linear uncertainty model. Based on the concepts and concepts mentioned above, the goal of this article is to design a reliable driver for linear and nonlinear systems, including uncertain model and strong effect. For example, a nonlinear system can be considered a linear system if the state of the system is close to the equilibrium point. According to this concept, the Takagi Kanno concept, whose reasoning (TS) uses the fuzzy concept, is a fuzzy concept combining several linear systems to approximate the behavior of the original non-linear system (Kickert and Mamdani, 1978;Braae and) Rutherford, 1979;Chang andZadeh. 1972, Buvana andJayashri, 2019). With this simple and general approach, any model can use a linear system to express the meaning of each power rule. This allows the use of the linear feedback method with continuous feedback. Królów (1996) Proposed distributed power series of parallel concepts (PDC) . It follows the same order as the settings specified in the Hypothesis section for each rule. An effective theoretical system of building management systems requires a higher level of service standards and an effective way to reduce the initial user experience without harming the building. The literature discusses many reasons to achieve this goal by trying various forms of management, but the correct solution to the problem remains ambiguous. Recently, the Evolutionary Bat Algorithmic (EBA) optimization method has been introduced, which highlights a number of optimization problems. This article is about EBA optimization in construction management strategy, one of the latest interesting optimization optimization topics.
The information gathering zone is also warm and fun, and attracts the attention of many researchers. Lots of people are encouraged and inspired by the algorithm These algorithms are built in the field for the intelligence of natural animals. Methods often require complex calculations and mimic some existing or retained methods. For example, Tsai et al. , (2012) was used to describe the bat discovery process in order to solve many mechanical problems. In this article, the EBA applies to optimizing the building administration plan, which is one of the most difficult optimization problems in recent years. Variable optimization controllers are those that provide response conditions (such as output) to a controller position change.

RESEARCH METHOD
Concrete structures are the most common type of modern architecture. Figure 1 shows that the three-story concrete structure has been reinforced. It usually consists of a specific body or skeleton. The horizontal elements are rays and the vertical elements are columns. Concrete buildings also include floors and roofs that serve as foundations. The poles are so large that they carry the house's luggage. (1) The equation of motion of the motor unit and the electronic system of a rock reservoir can be written as a model consisting of the following assumptions Kim et al., 2018;Leeetal., 2018et al. Chang et al., 2017Chang et al., 2019: Chen, 2014;  the area-to-surface drift from the designated i-th floor of the unit. Matrices M , C, K have mass, and sometimes matrices and matrix matrices respectively . In the controller design, each criterion corresponds to equation (1), and the equation of state is combined with: The dynamic system (2) is different for each region. You can use the fuzzy control TS to build more linear models and link each linear model with an associated function. Figure 2 shows the concept of conceptual inference, which is based on the fuzzy TS pattern.

Figure 2. Describe fuzzy models based on TS
Use dynamic models to examine the final time dimension of an independent line installation Σ (θ). y (t), z2 (t) and z∞ (t) , respectively . In addition, the parameters D 2u , D ω ω , D ∞ u are transferred directly from the starting matrices to the outputs y (t), z 2 ( t) and z ∞ (t) , respectively . A ( θ ) B u ( θ ) Bω ( θ ) depends on an unknown variable or time variables or a table divided into circles and has the following structure.
(6) (7) Our goal is to find an acceptable G that is similar to this; a) Equation. (6) Sure; b) the following business monitoring standards: (8) (9) H2 and H∞ are the norms of closed loops (6 ) (10) Where σmax ( H∞) represents the maximum value of H∞ and the Frobenii norm.
(11) as defined (12) This can be translated as the maximum value of ω (t) and RMS in any direction and at any frequency, respectively. To achieve this, we obtain the criterion validity of the Lyapunov method as shown in the figure below.
Lemma 1 symmetrical X∞ and G , the ratio is stable over the latitude H∞ or within γ.

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(13) The concept is to describe a term that can be generated from symmetry. Lemma II (14).
(15) y = 1 , theory predicted by Scherer et al. Easily available since (1997). Therefore, no proof is required. It is obvious (13) that the steady state includes (14). Therefore, the H∞ / H2 mixture can be expressed. ,, Follow (13) and (15). It is known that the worst case LMI can be used based on the worst case outcome method. Therefore, the dataset can be very conservative. Moreover, by solving LMI by G alone, let X = X2 = X∞> 0 (Scherer et al., 1997). However, these limitations can be minor , especially with robust multi-sided models.
To overcome the above errors, a numerical algorithm is used to find consecutive responses to productions, stabilizing closed loops and asymptomatically obscuring performance circuits. Lapunov's design, general configuration, and experimental techniques used to narrow down the Hurwitz approach to mitigate stability in the family polynomial region (Chung and January 2009) showed solid stability.
Definition 1: closed dynamical system Ac ( θ) can be transformed into a family using a sequential polynomial system with G data (17) A polynomial represents a family. (1) (22).
(25) If > 0, the solution is terminated. The stability of the solidity relationship d is defined as follows: (26). According to Lemma 3, the rest of the task is to adjust the optimal G (22-24) and reduce the cost effect (21) . The GA-based floating point designation is shown in Figure G. 3-4 Poll G dominates with good odds (22-24) and (21). To maintain form, we use the hierarchy (22-24) and (21) to bind to a function called HFFS (21). You can search for a G in any GA by changing the HFFS training modes.  The method of performing HFFS is to convert (22-24) into lower body functions and link these lower body functions to a hierarchy. By combining the sequences (22-24) you can turn your subconscious into action.
(27) Where efficiency and function are the i-th sub-efficiency. This assessment is based on the ability to more easily identify the stability of the scenery conditions, which are implemented in a coherent hierarchical structure. The execution of di is defined as the corresponding i-th.
Where is the relative stability of the left half of the complex plane.
The mass attenuation coefficient μ/ρ of these samples were calculated using the Geant4 toolkit and the WinXCOM application for photon energy ranging from 1 keV to 10 MeV. In Figure.1, the μ/ρ values were presented against photon energy. The μ/ρ values obtained from Geant4 simulations were compared to those calculated by the WinXCOM algorithm, as shown in Figure.2. The values of μ/ρ were used to determine the Zeff values, Figure.3. In Figure.4, the Half-value layer values of the investigated glasses were calculated and plotted. In figure 5 the mean free path values were computed and plotted. Table 1. list of investigated glasses samples, chemical and atomic composition and density. Figure 5 shows the relationship between the HFFS estimate value and steady state. Of course, if Σc ( θ ) is constant , training and fitness are always constant, and average performance is generally best.

Glasses Samples
Density ( The developed algorithm, consisting of the GA defined in HFFS, allows to avoid unusual conditions and select possible states from HFFS. As a result, physical activity on the computer can be significantly reduced. As shown in Figure 3-4, HFFS is similar to GA. The difference is that an active estimation module can be applied to the HFFS. GA controller code code (BCGA) is shown in the figure. 6.6. Figure 6. process to find optimal H2 / H ( output feedback driver ) From our previous analyzes it can be concluded that the closure coefficients and the model are closest if the vibrations have a sufficiently high frequency and the appropriate element strength has been selected (Zames and Shneydor, 1976 and. Abed 1977). , 1995). This allows you to predict the stability of a closed system communicating with the welding system.

Stability design and fuzzy EBA algorithm.
From now on, I am not looking for the stability of the original system, but the stability of the system in the cloud. Therefore, the stability criteria are listed below.
Claim. Any type of system is blocked in a large stable by a PDC if the following LMI conditions are met:

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The entire determination process can be summarized as the following algorithm. How to format the controller described below in a given system? Selecting the appropriate step size parameter will correctly move the agent into the solution space. This means improving the accuracy of finding the best solutions and reducing the likelihood of local optimization. Medium air was selected in our experiments because bats live in a natural environment of natural air. Here is a brief description of EBA's activities: Step 1: Randomly assign coordinates to the synthetic material scattered in the solution area.
Step 2: Enter a random number and check if the emission rate is faster than the steady pulse. If the result is positive, we move rashly in the middle of the logarithm of the process.  Step 3: The Role of the User Defined Exercise builds adaptation and renews it to a suboptimal saved solution.
Step 4: Check the output mode, see if you can go back to step 2 or finish the project and provide a better solution.
The adaptability of the experimental features in evaluation and testing is determined using userdefined criteria. In other words, the educational function is an expression of math in the solution area, and you have to solve the user's problem or find the best solution . Therefore, this article describes a common positive symmetry matrix and educational task on discovering directional forces.

Experimental and simulation effects
Consider a building (Yang et al., 1998) in which the structure of each area of the unit is the same. The 76-story building is a vertical ray model. The final model is constructed by treating the structural elements between two adjacent layers as a homogeneous bundle of classical material with a density that assumes 76 degrees of displacement freedom, especially 76 degrees of rotation freedom. Then 76 degrees of freedom are removed with the permanent barrier. It does 76 degrees of freedom . This means that each floor moves to one side. The first five physical frequencies are 0.166, 0.765, 1.992, 3.790, and 6.395 Hz. The RH table for a 76 degree-of-freedom building was calculated using the Rayleigh method and the calculated Moisture Coefficient will be 1% in the first 5 settings. This model has a mass, moisture, and stiffness matrix and is referred to as the "76DOF model". The ATMD equation is constructed The effective Indicates excessive acceleration at 75 rms . According to performance and standards 1 J , acceleration is limited to 75 floors. This is because the 76th floor is on the top floor of the building and there are no passengers.
The second largest hiring standard is the average free wage above 49 floors.
In this case , the acceleration unit is io x   independent of the layers. Metric is the ability to control the restricted area . The standard version is: where the azimuth outputs and actions are u  rms xm  controlled.
In addition to the above limitations, the following factors should be considered and the proposed administrative burden management requirements should be considered. There is a need to perform a statistical simulation (completion) of the proposed application analysis project to estimate its performance based on the following virtual dimensions: However, this limitation does not apply to administrative profits as the overall government influence over the overall system is relatively small. Table 1 shows that all EBA test variables were used. In accordance with the above-mentioned by genetic learning, the number of individuals is 9, the number of individuals is eleven, the migration rate is 0.72, the mutation rate is 0.12, the maximum number of generations is 13. Now ˆs elect the initial GA vector parameter value as follows :  Like other computational algorithms and evolutionary methods, these EBAs definitely need iteration to find the next solution. Therefore, the same number probability test must be repeated several times over a long period of time to check that the convergence of the results is constant and constant. The number of methods listed in Table 1 and figure 7 are intended to provide some numerical experimental results for testing with statistical methods. In this article, we select a specific number of iterations for the excellence condition. The multimedia material is selected for use in the transmission of waves in the air because it is adapted to the natural environment in which the club is located.

CONCLUSION
Therefore , the theory of control has influenced many researchers in recent years. Many numerical methods are still proposed in the literature to achieve this great goal by experiencing different forms of government, but they all have some difficulties in getting the right problem. The EBA algorithm is one of the leading innovative optimization methods that can provide researchers with solutions for various optimization. The EBA uses this white paper to optimize the administrative meetings in the building. The optimization parameter is the controller input and the response state provides the output to change its position relative to the engine curve. In this example, there are also new standards for ensuring system stability. This simple and systematic approach to point control helps to deal with external stimuli affecting complex mechanical systems.