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Combined Steering and Braking Collision Avoidance Control Method Based on Model Predictive Control
A combined steering and braking collision avoidance control method based on model predictive control is proposed in the present paper. This method...
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Adaptive Model Predictive Control for Intelligent Vehicle Trajectory Tracking Considering Road Curvature
A parametric Adaptive Model Predictive Controller (AMPC) based on Particle Swarm Optimization-Back Propagation (PSO-BP) neural network has been...
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Model Predictive Control for Load Frequency Regulation with PEVs
With the participation of a significant number of PEVs, it is really challenging to achieve economic-effective in load frequency control while...
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Nonlinear Disturbance Observer Incorporated Model Predictive Strategy for Wheeled Mobile Robot’s Trajectory Tracking Control
In this paper, we discuss a nonlinear disturbance observer-based double closed-loop control system for managing a wheeled mobile robot (WMR) and...
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Improved double-vector model predictive control to reduce current THD for ANPC-5L inverters
The classical model predictive control (MPC) usually aims to minimize the current error at the end of the control period. This method is equivalent...
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An Optimal Double-Vector Finite Set Model Predictive Control Strategy Based on Deadbeat for Vienna Rectifier
The traditional finite set model predictive control for Vienna rectifier takes the minimum cost function as the control goal and outputs a single...
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Comparison of Centralized and Multi-Layer Architectures for Nonlinear Model Predictive Torque-Vectoring and Traction Control
A significant body of literature discusses direct yaw moment controllers for vehicle stability control and torque-vectoring (TV), based on model...
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Green energy management in DC microgrids enhanced with robust model predictive control and muddled tuna swarm MPPT
In recent years, extreme focus on renewable energy has intensified due to environmental concerns and the depletion of fossil fuel supplies. In a DC...
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Nonlinear Predictive Control of Active Four-wheel Steering Vehicles
In order to improve the handling stability of active four-wheel steering vehicles, a nonlinear model predictive controller is presented, which can...
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Online Bilateral Predictive Control for Time-Delayed Teleoperation of Snake-like Robots
Controlling the teleoperation of snake-like robots is challenging due to complex nonlinear dynamics and communication delays. This research proposes...
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Path Tracking Control of Skid-steered Mobile Robot on the Slope Based on Fuzzy System and Model Predictive Control
Skid-steered mobile robots are often used in outdoor exploration due to their robust mechanical structure and high maneuverability. When they track...
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Enhanced nonlinear predictive control of two-link manipulator
In this paper, a nonlinear constrained predictive scheme is proposed to control a two-link rigid manipulator. The main novelty, of this work, lies in...
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Scalable Non-dimensional Model Predictive Control of Liquid Level in Generally Shaped Tanks Using RBF Neural Network
This paper focuses on develo** and analyzing a concept of a fully scalable control method applicable to highly nonlinear systems with dynamics...
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Double-layer optimal microgrid dispatching with price response using multi-point improved gray wolf intelligent algorithm
Optimal dispatch in power systems is a complex mathematical model of nonlinear programming with many physical constraints, which is difficult to...
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Tracking Model Predictive Control
The main objective of tracking model predictive control is to stabilize the plant satisfying the constraints and steering the tracking error, that...
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Energy-Optimal Braking Control Using a Double-Layer Scheme for Trajectory Planning and Tracking of Connected Electric Vehicles
Most researches focus on the regenerative braking system design in vehicle components control and braking torque distribution, few combine the...
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Data-driven Modeling and Adaptive Predictive Anti-swing Control of Overhead Cranes
This study investigates a novel data-driven model and an adaptive predictive anti-swing control law for overhead cranes. As an alternative solution...
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Real-Time Co-optimization of Gear Shifting and Engine Torque for Predictive Cruise Control of Heavy-Duty Trucks
Fuel consumption is one of the main concerns for heavy-duty trucks. Predictive cruise control (PCC) provides an intriguing opportunity to reduce fuel...
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Application of Multi-variable Double-Layer MPC in Energy-Saving Operation of Central Chiller
This paper proposes an application of the multivariate double-layered MPC approach in the energy-saving operation of central chiller. The model does...
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A double-layer optimization method for forging process parameters of hinge beam structure and size of intermediate billet
A double-layer optimization method for the forging process parameters of a hinge beam structure and the design of intermediate billet structure is...