model predictive control systems
Convex Model Predictive Control for Vehicular Systems
... Motion planning is required whenever a robotic system, such as a rover or robotic arm, needs to make decisions about moving in an unknown environment [10]. The focus of this thesis is on the motion planning of two ...
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A New Weighted Graph Based Partitioning Algorithm for Decentralized Nonlinear Model Predictive Control of Large Scale Systems
... dynamical systems provide new challenges and opportunities in control theory research ...Modern systems are developing both in size and complexity much more than before and hence new efforts for ...
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Control of Constrained Linear-Time Varying Systems via Kautz Parametrization of Model Predictive Control Scheme
... of model predictive control for linear time-varying ...LTV systems allows us to reduce the total number of unknown variables in the optimizer vector that leads to a decrease in the ...
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Energy Saving in Building Thermal System using Model Predictive Control
... Model predictive control (MPC) is the most successful advanced control technique applied in the processes, which nowadays tend to implement MPC systems in more plant .... Model ...
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Linear and Nonlinear Model Predictive Control of Quadruple Tank Process
... The design procedure for MPC controller for Quadruple tank process has been proposed in this paper. The step response for process is compared with the results obtained in references listed as paper1 and paper 2 for both ...
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Model predictive control of linear systems with preview information: feasibility, stability and inherent robustness
... of model predictive controllers has been investigated extensively over the last few decades, and the theoretical foundations are now mature ...disturbance-free) systems, robust MPC for systems ...
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AC ship microgrids: control and power management optimization
... a model predictive control (MPC) based energy management strategy in order to optimally operate the system by dealing with power ramp rate problems for all-electric ships ...the control ...
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A Comparative Study of SISO Control for TITO Systems
... decentralised model predic- tive control (DMPC) for two-input and two-output (TITO) pro- ...DMPC. Model predictive control (MPC) and decentralised PID (PI) were also applied for ...
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Non-linear predictive control for manufacturing and robotic applications
... of predictive control for both finite horizon (GPC) and infinite horizon (LQGPC) ...the predictive schemes the future control actions within a finite horizon are predicted and available at a ...
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New Smith predictive fuzzy immune PID control algorithm for MIMO networked control systems
... matrix control (DMC) of the MIMO impulse response model, a MIMO network DMC algorithm for stochastic delay is established, and the problem of system stability is transformed into a class of LMI solvable ...
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Maximum Power Point Tracking Using Constrained Model Predictive Control for Photovoltaic Systems
... system. Model Predictive controller is a highly efficient and strong method to control processes with constraints and complicated ...constrained model predictive control ...
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A DUAL-RATE MODEL PREDICTIVE CONTROLLER FOR FIELDBUS BASED DISTRIBUTED CONTROL SYSTEMS
... Distributed Control Systems (DCS), an industrial computer network protocol known as fieldbus is used in chemical, petro-chemical and other process industries for real-time communication between digital ...
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A Novel Wideband Microstrip Patch Antenna with Non-Uniform Feed Based on Model Predictive
... the control is accomplished using a digital computer and at each sampling time, the results are applied ...optimal control problem subject to system dynamics and ...investigate model ...
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An Adaptive Disturbance Model for Model Predictive Control
... for systems where different parameters have different characteristics with respect to time or some other ...The model in (16) cannot be identified using a (one-stage) RLS algorithm, because it contains a ...
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Data-driven adaptive model-based predictive control with application in wastewater systems
... The proposed direct adaptive MBPC method can offer an attractive alternative to existing methods for slowly time-varying and nonlinear systems. The method combines the simplicity of linear MBPC with the power of ...
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New Discrete Predictive Sliding Mode Control for Non Minimum Phase Systems
... a Predictive Sliding Mode Controller ...Mode Control (SMC) with Model Predictive Control ...two control laws. The designed control strategy has stronger robustness and ...
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Nested Distributed Model Predictive Control
... Abstract: We propose a distributed model predictive control approach for linear time-invariant systems coupled via dynamics. The proposed approach uses the tube MPC concept for robustness to ...
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Performance Prediction of Refrigeration Systems by Artificial Neural Network
... refrigeration systems employing it can work with lower condensing ...these systems are usually more energy-efficient compared to ones using air-cooled ...refrigeration systems and simulating the ...
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Modulated model predictive control with optimized overmodulation
... predicted model response is interpreted as an affine transformation, ...nonlinear systems provided that the state space model is differentiable and that the sampling time is small ...different ...
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Fault Tolerant Model Predictive Control of Hybrid Systems
... The design objectives and constraints are transformed into mixed-integer inequalities also the active fault tolerant problem is reformulated as a mixed integer optimization problem using[r] ...
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