26,535 resources related to Predictive Control
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2016 IEEE 55th IEEE Conference on Decision and Control (CDC)
The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
2014 American Control Conference - ACC 2014
All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.
2013 13th International Conference on Control, Automaton and Systems (ICCAS)
Control Theory and Application, Intelligent Systems, Industrial Applications of Control,Sensor and Signal Processing, Control Devices and Instruments, Robot Control, RobotVision, Human-Robot Interaction, Robotic Applications, Unmanned Vehicle Systems...
MED aims at providing a unique opportunity for the academic and industrial community, federal and state government, funding agencies, the private sector, qualified representatives from other organizations, to address new challenges, share solutions and discuss future research directions in the area of control and automation. Focused interests of diverse groups involved in basic and applied research and development will be discussed. A broad range of topics will be covered in the Conference, following current trends of combining control/systems theory with software/communication technologies, as well as new developments in robotics and mechatronics, with the goal of strengthening cooperation of control and automation scientists with industry
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
This conference provides an idea-exchange and discussion platform for researchers and practitioners interested in Intelligent Human-Machine and Cybernetics and other topics.
The magazine covers theory, analysis, design (computer-aided design), and practical implementation of circuits, and the application of circuit theoretic techniques to systems and to signal processing. Content is written for the spectrum of activities from basic scientific theory to industrial applications.
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.
Synergetic integration of mechanical engineering with electronic and intelligent computer control in the design and manufacture of industrial products and processes. (4) (IEEE Guide for Authors) A primary purpose is to have an aarchival publication which will encompass both theory and practice. Papers will be published which disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and ...
IEEE Transactions on Vehicular Technology was one of the most-cited journals, ranking number-six (tying with IEEE Communications Letters) in telecommunications in 2002, according to the annual Journal Citation Report (2002 edition) published by the Institute for Scientific Information. This periodical covers land, airborne, and maritime mobile services; portable or hand-carried and citizens' communications services, when used as an adjunct to ...
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on, 2004
In this paper, in accordance with the time-varying and non-linear character in electric discharge machining (EDM) process, a simple single-input single- output system is presented to simulate the EDM process. Based on this, a new type of direct optimizing neuro-predictive control system based on improved genetic algorithms for EDM process is designed. Finally, experimental results show that this system has ...
Intelligent Control and Automation (WCICA), 2014 11th World Congress on, 2014
In the paper, we study the stability of the discrete-time networked control systems. If the network link is with a limited communication capacity, the network-induced delay is unavoidable. Considering the network-induced delay, the closed-loop networked control systems are usually subject to the delayed state. The traditional method for the study of the networked control systems is mainly to construct a ...
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on, 2002
We present an algorithm for generating a binary search tree that allows efficient computation of piecewise affine (PWA) functions defined on a polyhedral partition. This is useful for PWA control approaches, such as explicit model predictive control (MPC), as it allows the controller to be implemented on-line with small computational effort. The computation time is logarithmic in the number of ...
PowerTech (POWERTECH), 2013 IEEE Grenoble, 2013
This paper presents a case study concerning the application of model predictive control (MPC) to the long term hydrothermal scheduling of the Brazilian power system. According to MPC, the hydro and thermal generation decisions at each stage are provided by a deterministic nonlinear optimization model considering predicted inflows. The model, which is solved by interior point method, also takes into ...
Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on, 2010
Freeway corridor traffic flow is limited by bottleneck flow. A possible approach for maximizing recurrent bottleneck flow is to create a discharge section immediately upstream of the bottleneck. This paper proposes a control strategy for combining Variable Speed Limits (VSL) and Coordinated Ramp Metering (CRM) design to achieve this objective when the bottleneck can be modeled as a lane drop ...
A. Bemporad; A. Casavola; E. Mosca IEEE Transactions on Automatic Control, 1997
A method based on conceptual tools of predictive control is described for solving set-point tracking problems wherein pointwise-in-time input and/or state inequality constraints are present. It consists of adding to a primal compensated system a nonlinear device, called command governor (CG), whose action is based on the current state, set-point, and prescribed constraints. The CG selects at any time a ...
Yonglei Zhang; Xiaojie Wu; Xibo Yuan; Yingjie Wang; Peng Dai IEEE Transactions on Industrial Electronics, 2016
To solve the issue of exponentially increasing computational burden of finite control set model predictive control (FCS-MPC) for multilevel converters, a fast MPC scheme for multilevel cascaded H-bridge STATCOM is presented. The proposed approach consists of three steps. First, with the partially stratified optimization approach, the multiobjective programming of MPC is divided into two suboptimization problems, i.e., current-control MPC and ...
Yan Ou; Peter Kang; Min Jun Kim; A. Agung Julius 2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
This paper investigates the use of single control signal (magnetic field direction) and PSO-MPC algorithm to control multiple magnetized Tetrahymena pyriformis (T. pyriformis) cells to move from their initial positions to their target positions simultaneously while avoiding the obstacle. The magnetized T. pyriformis cells are generated by adding iron-oxide spherical particles into the cells. We control the cells' moving direction ...
Marco Rinaldi; Chris M. J. Tampère; Willem Himpe; Tom Holvoet 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013
The problem of determining Ramp Metering control rates, taking into account routing response, is addressed in this paper. We develop Model Predictive Control based Anticipatory control schemes, featuring both centralized and decomposed optimization problems, with focus on real-life deployability. We then evaluate the aforementioned schemes' performances in comparison to simpler, non-anticipatory control techniques, by means of software simulation based on ...
M. Trabelsi; L. Ben-Brahim; A. Gastli; K. A. Ghazi 2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE), 2013
This paper proposes a flexible predictive control strategy for flying capacitors based Multi-Level Inverters (MLIs). The proposed controller, applied for a Flying Capacitors Inverter (FCI) and a Modular Multilevel Converter (MMC), is offering the possibility of furthering the capacitor voltages tracking, load and circulating current tracking, or a trade-off between all state variables tracking (capacitor voltages should be controlled in ...
The control strategy of the power converter plays a crucial role in ensuring reliable and efficient operation of renewable based distributed generation (DG) systems. In most applications, proportional-integral (PI) based cascaded control structures have been used to control current, voltage, etc. To eliminate the drawbacks of the cascaded control structure and difficulties of the modulation techniques, this chapter examines the model predictive control (MPC) technique for impedance source - Z-source (ZS) and quasi-Z-source (qZS) - three-leg, four-leg, and multiphase inverters. Then, it presents ZS/qZS three-phase three-leg, four-leg, and multiphase (five-phase) inverter topologies, along with a description of the topology, model, and switching schemes for control. After that, the MPC algorithm for ZS/qZS three-phase, three-leg, four-leg, and multiphase (five-phase) inverters are presented. Finally, to prove the addressed MPC strategy, a performance investigation has been carried out with qZS four-leg inverter and simulation results are presented to demonstrate the capabilities of the MPC.
In this chapter, PI controller implementation is discussed for both current controllers as the inner-loop controllers, and velocity and DC voltage controllers as outer-loop controllers. In particular, the continuous-time controllers are discretized for digital implementation, and the operational constraints imposed by the PWM operations are taken into consideration in the implementation of the PI controllers. In order to avoid integrator windup in the presence of control signal reaching saturation limits, anti-windup mechanisms are proposed together with the digital implementation, which leads to the so called velocity form that has naturally embedded anti-windup mechanisms and is convenient for implementation. A MATLAB tutorial is introduced in this chapter to show how an embedded function can be created for the PI controller with its anti-windup mechanism.
This chapter contains sections titled: Applications of Power Converters and Drives Types of Power Converters Control of Power Converters and Drives Why Predictive Control is Particularly Suited for Power Electronics Contents of this Book References
This chapter contains sections titled: Introduction System Model Linear Current Control Method with Pulse Width Modulation Predictive Current Control Method Implementation Summary References
This chapter contains sections titled: Introduction Power System Controls: Particle Swarm Technique Power Plant Controller Design with GA Evolutionary Programming Optimizer and Application in Intelligent Predictive Control An Interactive Compromise Programming-Based MO Approach to FACTS Control References
Model Predictive Control (MPC), which involves online optimization of a receding-horizon objective, has been effectively used to generate robust and reactive controllers for many problem domains. For tasks involving extreme nonlinearities such as contact, the use of warm-starts, which are essential for efficient optimization, quickly drive the predicted trajectory into bad local minima, leading to failure. In this paper we present a principled method for avoiding this mode of failure, by combining offline trajectory optimization and online MPC, generating robust controllers for complex periodic behavior in domains with contact. We first find an optimal limitcycle offline, and compute a local quadratic approximation of the infinite-horizon Value function around it. We then use this approximation as the terminal cost for the online MPC optimizer. This combination of an offline solution of the infinite-horizon problem with an online MPC controller is known as Infinite Horizon Model Predictive Control (IHMPC), and we show how under certain conditions it can generate the infinite-horizon optimal behavior using finite- horizon optimization. Finally, we present a simulation of a hopping robot controlled by IHMPC. The resulting behavior is robust against simulated perturbations and modeling errors.
This chapter contains sections titled: Control Structure Controller Design Experimental Results Summary
This chapter presents a quasi Z-source (qZS) based cascaded H-bridge (CHB) multilevel inverter for the grid integration of photovoltaic (PV) systems. The mixed topology is characterized by high-quality staircase output voltage with low harmonic distortions, independent dc-link voltage compensation with special voltage step-up/down function in a single-stage power conversion, and independent control of power delivery with high reliability. Moreover, a model predictive control (MPC) technique is used to transfer the power to the grid with unity power factor, low THD, low voltage ride-through (LVRT) capability, and anti-islanding protection. The synchronization of the power electronics interface with the grid remains one of the most important issues in the integration of DGs into the smart grids. Islanding protection is an important safety requirement to be addressed in grid connected power electronic systems. The antiislanding protection performance was evaluated for three phase-shift based active islanding detection methods: active frequency drift, slip-mode phase shift, and Sandia frequency shift.
In this chapter, sensitivity functions in feedback control systems are introduced to measure the closed-loop control system performance against set- point following, disturbance rejection and noise attenuation in the frequency domain. Current control systems are analyzed for the effects of current sensor errors and harmonics caused by the voltage source inverter used in the implementation of the control system. When velocity control, position control or DC voltage control is required in a cascade control structure, performance robustness in the outer-loop control system is considered where a weighting function is introduced to quantify the difference between the desired closed- loop performance and the actual closed-loop performance. Parameter variations are also studied using Nyquist plots. A large number of experiments are conducted in this chapter to demonstrate the tuning procedures of the PI cascade control systems.
This appendix contains sections titled: Predictive Current Control of a Direct Matrix Converter
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