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Palabras clave – provistas por la editorial

energy consumption optimization; torque distribution; energy efficiency; motor efficiency; four in-wheel motor drive electric vehicle; nonlinear model predictive control; four-wheel drive; acceleration slip regulation; intervention and exit mechanisms; autonomous driving; planning algorithm; variable Gaussian safety field; reinforcement learning; policy gradient; x-by-wire vehicle; trajectory tracking control; model predictive control; hierarchical control; distributed drive electric vehicles; additional roll moment; decoupling control; load transfer rate; electronically controlled air suspension; solenoid valve; extended Kalman filter bank; fault diagnosis; fault-tolerant control; distributed driving electric vehicles; polynomial path planning; torque allocation; obstacle avoidance path tracking; fuzzy neural network; particle swarm algorithm; PID control; active suspension; MATLAB/Simulink simulation; suspension; mechatronic inerter; bridge network; high-order impedance; real vehicle test; autonomous vehicle; path tracking control; non-singular fast terminal sliding mode control; model reference control; vehicle; fractional-order electrical network; structure-immittance approach; optimal design; multi-agent coordinated control system; active collision avoidance; blackboard model; real-time; electric vehicles; regenerative braking; energy recovery; genetic algorithm; braking stability; seat suspension; inerter; mechatronic system; permanent magnet synchronous machine (PMSM); position sensorless compound control; high frequency (HF) signal injection method; I/F control; model-based techniques; n/a