Xtension set of lateral stability.”extension domain” might be have an understanding of as
Xtension set of lateral stability.”extension domain” is usually have an understanding of as a transition domain.extension distance of 2-D extension set of lateral stability to a 1-D extension form, as shown in Figure 8.Figure 8. 1-D extension set. Figure eight. 1-D extension set.Set the classic AS-0141 Protocol domain O, Q1 = Xc , the extension domain Q1 , Q2 = Xe . The Set the distance in the point Q to extension domain Q1, Q2 = X . The extension extension classic domain O, Q1 = Xc, theclassic domain is represented eas (Q, Xc ), and Figure distance8. 1-D extension set.to classic Q to extension domain as represented as (Q, Xe ). The from the point from point domain is represented is (Q, Xc), as well as the extension the extension distanceQ distance from point can to extension domain is represented as (Q, Xe). The extension extension distance Q be calculated as follows: Set the classic domain O, Q1 distance may be calculated as follows: = Xc, the extension domain Q1, Q2 = Xe. The extension distance in the point Q to classic domain is ,represented as (Q, Xc), and the extension -|OQ1 | Q O, Q1 Q, Xc ) = -| |, , , (30) distance from point Q to((, ) = domainQ represented as (Q, Xe). The extension extension |OQ1 |, is Q1 , , (30) distance might be calculated as follows: | |, , -|OQ2 |, Q O, Q2 ( Q, Xe ) = -| |, |, , , (31) -| , |OQ2 |, Q Q2 , , (, ) =) = (31) (30) , (, | |, , | |, , As a result, the dependent MCC950 Technical Information degree K(S), also known as correlation function, may be calculated Thus, the dependent degree K(S), also identified , as follows: -| |,e as correlation function, might be ( Q,X ) (, K) S) = D Q,X ,X , = (31) calculated as follows: ( ( | |, , e c) , (32) D ( Q, Xe , Xc ) = ( Q, Xe ) – ( Q, Xc )Hence, the dependent degree K(S), also referred to as correlation function, is often calculated as follows:Actuators 2021, 10,12 of3.3.4. Identifying Measure Pattern The dependent degree of any point Q inside the extension set might be described quantitatively by the dependent degree K(S). The measure pattern may be divided as follows: M1 = K (S) 1 M2 = 0 K (S) 1 , M3 = K (S) 0 (33)The classic domain, extension domain and non-domain correspond towards the measure pattern M1 , M2 and M3 , respectively. three.three.5. Weight Matrix Design and style Immediately after the dependent degree K(S) is calculated, it truly is made use of to design and style the real-time weight matrix since it can reflect the degree of longitudinal car-following distance error plus the risk of losing lateral stability. The weights for w , w and wd are set because the real-time weights that are adjusted by the corresponding values in the dependent degree K(S), and the other weights wv , wae , wMdes , wades are set as constants. When the car-following distance error belongs for the measure pattern M1 , it means that the distance error is inside a modest range, and it truly is not necessary to boost the corresponding weight. When the car-following distance error belongs for the measure pattern M2 , the distance error is within a reasonably massive variety, and it is actually feasible to exceed the driver’s sensitivity limit with the distance error if the corresponding weight isn’t adjusted timely. When the car-following distance error belongs to the measure pattern M3 , the distance error exceeds the driver’s sensitivity limit, as well as the corresponding weight needs to be maximized to lower the distance error by control. The real-time weight for longitudinal car-following distance is designed as follows: 0.3, = 0.three 0.4 ACC , 0.7, K ACC (S) 1 0 K ACC (S) 1 , K ACC (S) wd(34)where k ACC = 1 – K ACC (S), kACC and KACC (S) ar.
