Mamdani-Type Fuzzy-Based Adaptive Nonhomogeneous Synchronization by J. R. Pulido–Luna, J. A. López–Rentería, N. R. Cazarez–Castro

“…The aim of this work is the design of an adaptive controller based on Mamdani-type fuzzy inference systems. …”
Get full text

Designing of Adaptive Model-Free Controller Based on Output Error and Feedback Linearization by S. Pezeshki, M. A. Badamchizadeh, S. Ghaemi, M. A. Poor

“…This paper introduces a new approach to design Model-Free Adaptive Controller (MFAC) using adaptive fuzzy procedure as a feedback linearization based on output error. …”
Get full text

Synchronization of Chaotic Systems with Dead Zones via Fuzzy Adaptive Variable-Structure Control by Yongbing Huangfu, Kaijuan Xue

“…Based on the Lyapunov stability theorems, by using fuzzy inference to estimate system uncertainties and by designing effective fuzzy adaptive controllers, the synchronization between two chaotic systems with dead zones is realized and a fuzzy variable-structure control is implemented. …”
Get full text

A Novel Hybrid Function Projective Synchronization between Different Fractional-Order Chaotic Systems by Ping Zhou, Xiao-You Yang

“…This proposed scheme is different with the function projective synchronization (FPS) scheme, in which the drive and response system could be synchronized up to a scaling function factor. The adaptive controller and the parameter update law are gained. …”
Get full text

Decentralized Reactive Power Control in Distribution Grids With Unknown Reactance Matrix by Lintao Ye, Krishna Chaitanya Kosaraju, Vijay Gupta, Rodrigo D. Trevizan, Raymond H. Byrne, Babu R. Chalamala

“…We present a decentralized adaptive controller in which the reactive power at each inverter is set using a potentially heterogeneous droop curve and analyze the stability and the steady-state error of the resulting system. …”
Get full text

Investigation of Sliding Mode Control in the Nonlinear Modeling of Cordless Jigsaws by Sándor Apáti, György Hegedűs, Sándor Hajdu, Péter Korondi

“…The aim of this paper was to reduce the current spikes in battery-powered saw motors by designing and implementing a sliding mode model-following adaptive controller. The proposed controller reduces overcurrent consumption, improves system energy efficiency, and effectively maximizes battery runtime, especially under high-load conditions. …”
Get full text

Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays by Huaiqin Wu, Luying Zhang, Sanbo Ding, Xueqing Guo, Lingling Wang

“…According to the state-dependent switching feature of the memristor, the error system is divided into four cases. Adaptive controller is designed such that the considered model can realize global asymptotical synchronization. …”
Get full text

Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks by Minglun Li, Hu Yang, Bao Guo, Jianjun Dai, Pu Wang

“…Traffic congestion in the freeway bottlenecks can be effectively mitigated by adaptively controlling the waiting time of vehicles at the on-ramps of their major driver sources.…”
Get full text

A Novel Scheme Adaptive Hybrid Dislocated Synchronization for Two Identical and Different Memristor Chaotic Oscillator Systems with Uncertain Parameters by Jie Chen, Junwei Sun, Ming Chi, Xin-Ming Cheng

“…By designing effective hybrid dislocated adaptive controller and hybrid dislocated adaptive law of the parameters estimation, we investigate the synchronization of two identical memristor chaotic oscillator systems and two different memristor chaotic oscillator systems with uncertain parameters. …”
Get full text

Delay-Dependent Stability in Uncalibrated Image-Based Dynamic Visual Servoing Robotic System by Tao Li, Hui Zhao, Yu Chang

“…To eliminate the negative effects caused by kinematic uncertainties and delays, we propose an adaptive controller including the delay-affected Jacobian matrix and design an adaptive law accordingly. …”
Get full text

Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation by Huanqing Wang, Xiaoping Liu, Qi Zhou, Hamid Reza Karimi

“…During the controller design, fuzzy logic systems are used to approximate the packaged unknown nonlinearities, and then a novel direct adaptive controller is constructed via backstepping technique. …”
Get full text

Synchronization of Different Uncertain Fractional-Order Chaotic Systems with External Disturbances via T-S Fuzzy Model by Lin Wang, Jinbo Ni, Chunzhi Yang

“…This paper presents an adaptive fuzzy synchronization control strategy for a class of different uncertain fractional-order chaotic/hyperchaotic systems with unknown external disturbances via T-S fuzzy systems, where the parallel distributed compensation technology is provided to design adaptive controller with fractional adaptation laws. T-S fuzzy models are employed to approximate the unknown nonlinear systems and tracking error signals are used to update the parametric estimates. …”
Get full text

Finite-Time Adaptive Tracking Control for a Class of Pure-Feedback Nonlinear Systems with Disturbances via Decoupling Technique by Qiangqiang Zhu, Ben Niu, Shengtao Li, Peiyong Duan, Dong Yang

“…In our design procedure, an finite-time adaptive controller is elaborately developed using the decoupling technology, which eliminates the limitation assumption on the partial derivatives of nonaffine functions. …”
Get full text

Adaptive optimal control of prosumer energy storage system with renewable energy sources by D. V. Antonenkov, V. Z. Manusov, P. V. Matrenin, V. R. Kiushkina

“…This work aims to optimize the prosumer’s electrical complex by developing a method for adapting the base of heuristic rules of the prosumer control to its parameters and climatic conditions. A method for adaptation control rules using swarm intelligence algorithms is proposed. …”
Get full text

Robust Adaptive Dynamic Surface Control for a Class of Nonlinear Dynamical Systems with Unknown Hysteresis by Yong-Hua Liu, Ying Feng, Xinkai Chen

“…By combining robust control and dynamic surface control technique, an adaptive controller is proposed in this paper to avoid “the explosion complexity” in the standard backstepping design procedure. …”
Get full text

Adaptive Neural Control and Modeling for Continuous Stirred Tank Reactor with Delays and Full State Constraints by Dongjuan Li, Dongxing Wang, Ying Gao

“…To deal with time-varying delays, Lyapunov–Krasovskii functionals (LKFs) are utilized in the adaptive controller design. The convergence of the tracking error to a small compact set without violating the constraints can be identified by the time-varying logarithm barrier Lyapunov function (LBLF). …”
Get full text

Design of Self-Tuning Regulator Adaptive Cascade Control for Power Factor Correction in Boost Rectifier by Chiyo Saito, Connor Davis

“…By integrating a self-tuning regulator (STR) adaptive controller with online identification within each control loop, this approach dynamically adjusts to fluctuations in current consumption over time. …”
Get full text

Adaptive Integral-Based Robust Q-S Synchronization and Parameter Identification of Nonlinear Hyperchaotic Complex Systems by Sami Ud Din, Muhammad Rafiq Mufti, Humaira Afzal, Majid Ali, Muhammad Abdul Moiz Zia

“…This communique presents the Q-S synchronization of two nonidentical complex nonlinear hyperchaotic systems with unknown parameters. An adaptive controller based on adaptive integral sliding mode control and parameter update laws are designed to realize the synchronization and parameter identification to a given map vector. …”
Get full text

Nonlinear Predictive Sliding Mode Control for Active Suspension System by Dazhuang Wang, Dingxuan Zhao, Mingde Gong, Bin Yang

“…The uncertainties in the controller are approximated by the fuzzy logic system, and the adaptive controller reduces the approximation error to increase the robustness of the control system. …”
Get full text

Kinematics and Dynamics Analysis of Lower Limb Robot based on Human Motion Data by Hailong Du, Ningning Hu

“…By establishing the link model of the lower limb exoskeleton robot，the rotation angle and torque curve of the hip joint and knee joint are deduced and calculated based on experiment data based on experim ent data，an adaptive controller is designed based on Matlab，and effectiveness of kinematics and dynamics analysis based on experimental data is verified，which provides data support and theoretical basis for the motor selection and control system design of the lower limb exoskeleton robot.…”
Get full text