Observer-based robust fuzzy control for vehicle lateral dynamics

Observer-Based State Feedback Control for Vehicle Chassis Stability in Critical Situations

“…Parameters of membership functions (a i , b i , and c i ) and the stiffness coefficient values are obtained using an identification method based on the Levenberg-Marquardt algorithm combined with the least square method [21]. Fig.…”

H<inf>&#x221E;</inf> fuzzy Networked control for vehicle lateral dynamics

“…In the design, the nominal stiffness coefficients considered are [4]: The network-related parameters are assumed: h = 5ms, the maximum delay η 1 = 6ms, η 2 = 20ms, the maximum number of data packet dropouts σ = 2, the minimum allowable γ is 4, h d = 0.1, µ 1 = 1 , µ 2 = 0.1 and µ 3 = 0.2 by Theorem 3.1 we find a feasible solution as follows…”

Introduction to Takagi–Sugeno Fuzzy Systems

“…The most important criterion used is the least square criterion using the two indicated outputs. 9) where N stands for the observation horizon and θ for the vector of local T-S fuzzy system and activation functions parameters. Methods of minimization of criterion J (θ ) are based, most often, on a limited development of criterion J (θ ) around a particular value of the parameter vector θ and an iterative procedure of gradual change of the solution.…”

“…For systems represented by T-S fuzzy models, the Parallel Distributed Compensator (PDC) Controller is usually used in the literature [9][10][11][12]. The PDC is a modelbased design procedure introduced in [11] to stabilize T-S fuzzy models.…”

“…For systems represented under T-S fuzzy systems form, the Parallel Distributed Compensation (PDC) structure is usually used in control design [9][10][11][12].…”