# IEEE Transactions on Control Systems Technology

## Issue 99

Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE's Preprint or Rapid Post processes. Preprint articles are peer-reviewed but not fully edited. Rapid Post articles are peer-reviewed and edited but not paginated. Both these types of Early Access articles are fully citable from the moment they appear in IEEE Xplore.

## Filter Results

Displaying Results 1 - 25 of 258
• ### $Q$ Control of an Active AFM Cantilever With Differential Sensing Configuration

Publication Year: 2018, Page(s):1 - 8
| | PDF (2664 KB)

Microcantilevers featuring separate built-in actuation and displacement sensing capabilities allow effective and simple implementation of control methods, opening a pathway to achieving higher scan speeds in tapping-mode atomic force microscopy. Such active cantilevers are a significant milestone to eventually obtain video-rate on-chip atomic force microscopes (AFMs) that can even surpass the func... View full abstract»

• ### Intraoperative Brain Shift Estimation Using Atlas of Brain Deformations and Constrained Kalman Filter

Publication Year: 2018, Page(s):1 - 10
| | PDF (2010 KB)

Intraoperative brain shift decreases the accuracy of neuronavigation systems based on preoperative images. In this paper, this problem is addressed by calculating an estimation of brain shift which can be employed to update the preoperative brain images. Therefore, the precision of navigation can be improved. In this regard, a brain shift estimation method is proposed using an atlas of brain defor... View full abstract»

• ### Adaptive Neural Boundary Control Design for Nonlinear Flexible Distributed Parameter Systems

Publication Year: 2018, Page(s):1 - 15
| | PDF (1863 KB)

This paper proposes an adaptive neural boundary feedback control design for a nonlinear flexible distributed parameter system described by a nonuniform wave equation containing an unknown nonlinear function in the boundary conditions. In the proposed design method, a radial-basis-function neural network (NN) with an adaptive weight update law is used to approximate the unknown nonlinear term. By u... View full abstract»

• ### Systematically Structured $H_2$ Optimal Control for Truss-Supported Segmented Mirrors

Publication Year: 2018, Page(s):1 - 8
| | PDF (506 KB)

A systematic distributed optimal control design procedure is proposed for the rejection of wind load-induced disturbances on a truss-supported segmented mirror. The distributed nature of the controller is achieved by weighing of the interaction matrices between local (per-segment) controllers in a global H₂ optimization. The procedure allows a tradeoff analysis between the controller implem... View full abstract»

• ### Unscented-Transformation-Based Distributed Nonlinear State Estimation: Algorithm, Analysis, and Experiments

Publication Year: 2018, Page(s):1 - 14
| | PDF (4681 KB)

The problem of fully distributed state estimation using networked local sensors is studied in this paper. Specifically, the scenario with general nonlinear process model and local sensing models is considered by extending the distributed hybrid information fusion (DHIF) algorithm proposed by Wang and Ren. Different from the extended Kalman filter-based approaches which require the computation of t... View full abstract»

• ### Cascaded Reference Governor-MPC for Motion Control of Two-Stage Manufacturing Machines

Publication Year: 2018, Page(s):1 - 15
| | PDF (4780 KB)

Two-stage processing machines for manufacturing are equipped with two sets of actuators for motion control with different operating ranges and bandwidths. The processing time, product quality, and flexibility of the manufacturing process can be optimized by coordinating these actuators and exploiting the entire actuator operating range. We propose a motion control strategy for two-stage processing... View full abstract»

• ### High-Precision Trajectory Tracking Control for Space Manipulator With Neutral Uncertainty and Deadzone Nonlinearity

Publication Year: 2018, Page(s):1 - 9
| | PDF (1114 KB)

This brief investigates the high-precision trajectory tracking control of space manipulator after capturing an unknown target. The neutral uncertainty induced by parameter variation poses great challenges to the controller design. Moreover, the existence of actuator deadzone nonlinearity makes the situation more complicated. In order to address the aforementioned difficulties, a novel control sche... View full abstract»

• ### Model-Based Identification of Nanomechanical Properties in Atomic Force Microscopy: Theory and Experiments

Publication Year: 2018, Page(s):1 - 13
| | PDF (1904 KB)

The ability of the atomic force microscope (AFM) to resolve highly accurate interaction forces has made it an increasingly popular tool for determining nanomechanical properties of soft samples. Traditionally, elasticity is determined by gathering force-distance curves. More recently, dynamic properties such as viscoelasticity can be determined by relating the observables to sample properties, eit... View full abstract»

• ### Scanning Tunneling Microscope Control: A Self-Tuning PI Controller Based on Online Local Barrier Height Estimation*

Publication Year: 2018, Page(s):1 - 12
| | PDF (4217 KB)

We identify the dynamics of a scanning tunneling microscope (STM) in closed loop and show that the plant dc gain is proportional to the square root of local barrier height (LBH), a quantum mechanical property of the sample and/or tip that affects the tunneling current. We demonstrate that during a scan, the LBH may undergo significant variations and this can adversely affect the closed-loop stabil... View full abstract»

• ### Cascade-Free Fuzzy Finite-Control-Set Model Predictive Control for Nested Neutral Point-Clamped Converters With Low Switching Frequency

Publication Year: 2018, Page(s):1 - 8
| | PDF (2499 KB)

In this brief, a cascade-free fuzzy finite-control-set model predictive control (FCS-MPC) is proposed for nested neutral point-clamped converters with low switching frequency (SF). The main objective of the proposed method is to achieve a low SF operation. First, a new cost function is formulated to reduce the SF, and a fuzzy logic control (FLC) technique is employed to choose the weighting factor... View full abstract»

• ### On the Choice of an Appropriate Reference Model for Control of Multivariable Plants

Publication Year: 2018, Page(s):1 - 13
| | PDF (1584 KB)

The choice of the reference model is the main task to be performed by the designer in a model reference control design. A poor choice of the reference model may result in a closed-loop performance that bears no resemblance to the one specified and may even be unstable. In this paper, we discuss this issue in the control of multiple-input multiple-output plants in the very typical case where a no p... View full abstract»

• ### Online Glucose Prediction Using Computationally Efficient Sparse Kernel Filtering Algorithms in Type-1 Diabetes

Publication Year: 2018, Page(s):1 - 13
| | PDF (2817 KB)

Streaming data from continuous glucose monitoring (CGM) systems enable the recursive identification of models to improve estimation accuracy for effective predictive glycemic control in patients with type-1 diabetes. A drawback of conventional recursive identification techniques is the increase in computational requirements, which is a concern for online and real-time applications such as the arti... View full abstract»

• ### Design of a Hybrid Controller for Pressure Swing Adsorption Processes

Publication Year: 2018, Page(s):1 - 15
| | PDF (5094 KB)

The aim of this paper is to synthesize a hybrid controller for pressure swing adsorption (PSA) processes. Since the process is described by a set of partial differential algebraic equations, first a local reduced-order model (LROM) for the process is developed and is formalized as a hybrid system. A hybrid controller is designed for purity control of the process in the presence of external disturb... View full abstract»

• ### Robust Calibration of High Dimension Nonlinear Dynamical Models for Omics Data: An Application in Cancer Systems Biology

Publication Year: 2018, Page(s):1 - 12
| | PDF (2837 KB)

In computational mathematical modeling of biological systems, most model parameters, such as initial conditions, kinetics, and scale factors, are usually unknown because they cannot be directly measured. Therefore, key issues in system identification of nonlinear systems are model calibration and identifiability analysis. Currently, existing methodologies for parameter estimation are divided in tw... View full abstract»

• ### Explicit Nonlinear Model Predictive Control for Electric Vehicle Traction Control

Publication Year: 2018, Page(s):1 - 14
| | PDF (4989 KB)

This paper presents a traction control (TC) system for electric vehicles with in-wheel motors, based on explicit nonlinear model predictive control. The feedback law, available beforehand, is described in detail, together with its variation for different plant conditions. The explicit controller is implemented on a rapid control prototyping unit, which proves the real-time capability of the strate... View full abstract»

• ### Lyapunov-Based Design of a Distributed Wardrop Load-Balancing Algorithm With Application to Software-Defined Networking

Publication Year: 2018, Page(s):1 - 13
| | PDF (2087 KB)

This paper presents an original discrete-time, distributed, noncooperative load-balancing algorithm, based on mean field game theory, which does not require explicit communications. The algorithm is proven to converge to an arbitrarily small neighborhood of a specific equilibrium among the loads of the providers, known as Wardrop equilibrium. Thanks to its characteristics, the algorithm is suitabl... View full abstract»

• ### State-of-Charge Estimation Using an EKF-Based Adaptive Observer

Publication Year: 2018, Page(s):1 - 17
| | PDF (7026 KB)

Lithium-ion batteries are used to store energy in electric vehicles. State of charge (SOC) is an important quantity of the battery cells that need to be estimated using limited measurements. In this paper, SOC estimation via an electrochemical model, a physics-based model, is considered. For lithium iron phosphate cells, a variable solid-state diffusivity model provides significantly more accuracy... View full abstract»

• ### Adaptive Convex Loss Mappings for Enhanced Loss Assessment in Asynchronous Drives

Publication Year: 2018, Page(s):1 - 13
| | PDF (3253 KB)

Control topologies in electric drive applications commonly aim at minimizing the dissipated power in the system to guarantee energy-efficient operation. Especially in vehicle electrification, loss minimization is the main objective in the supervisory control loops as this is directly related to the range of the vehicle. Advanced drive systems are characterized by an elevated complexity but require... View full abstract»

• ### Multifunctional Arc-Welding Controller Using SOSMC Technique

Publication Year: 2018, Page(s):1 - 9
| | PDF (2222 KB)

With the help from all round technological growth, the control needs of many engineering processes are now better understood and better controlled. It has been noticed that during the prolonged concept development phase of sliding mode control (SMC), the control needs in arc-welding process, in particular, have drifted significantly. Now, single controller is capable of making all type of joint ch... View full abstract»

• ### Driver-Automation Cooperation Oriented Approach for Shared Control of Lane Keeping Assist Systems

Publication Year: 2018, Page(s):1 - 17
| | PDF (4289 KB)

This paper presents a novel shared control concept for lane keeping assist (LKA) systems of intelligent vehicles. The core idea is to combine system perception with robust control so that the proposed strategy can successfully share the control authority between human drivers and the LKA system. This shared control strategy is composed of two parts, namely an operational part and a tactical part. ... View full abstract»

• ### A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring

Publication Year: 2018, Page(s):1 - 8
| | PDF (1719 KB)

This brief proposes an independent component analysis-principal component analysis (ICA-PCA) integrating with relevance vector machine (RVM) for multivariate process monitoring. Given the fact that the distribution of industrial process variables is mostly non-Gaussian and PCA cannot well deal with the non-Gaussian part. A hybrid ICA-PCA method is proposed to simultaneously extract the non-Gaussia... View full abstract»

• ### Distributed Energy Management for Smart Grids With an Event-Triggered Communication Scheme

Publication Year: 2018, Page(s):1 - 12
| | PDF (2371 KB)

This paper is concerned with distributed energy management and control issues of both generators and loads. It aims to maximize the total social welfare that balances generation-side expanses, user-side payments, and transmission line costs. A distributed control strategy with continuous information exchange among neighbors is first proposed. It is shown that this distributed algorithm achieves th... View full abstract»

• ### Identifiability and Parameter Estimation of the Single Particle Lithium-Ion Battery Model

Publication Year: 2018, Page(s):1 - 16
| | PDF (2646 KB)

This paper investigates the identifiability and estimation of the parameters of the single particle model (SPM) for lithium-ion battery simulation. Identifiability is addressed both in principle and in practice. The approach begins by grouping parameters and partially nondimensionalising the SPM to determine the maximum expected degrees of freedom in the problem. We discover that excluding open-ci... View full abstract»

• ### Powertrain Energy Management for Autonomous Hybrid Electric Vehicles With Flexible Driveline Power Demand

Publication Year: 2018, Page(s):1 - 8
| | PDF (2994 KB)

The need for less fuel consumption and the trend of more autonomous vehicles together urge the power optimization in autonomous hybrid vehicles (HVs). However, in most existing research, the vehicle level control and the hybrid powertrain level energy management are treated as separate subjects, and the powertrain management control always follows the required power demand from the vehicle level c... View full abstract»

• ### Systematic Design of Multivariable Fuel Injection Controllers for Advanced Diesel Combustion

Publication Year: 2018, Page(s):1 - 12
| | PDF (2326 KB)

With multiple fuel injections per combustion cycle, the advanced diesel combustion process depends on all injection pulses in a coupled way. This makes the control of the multipulse fuel injection profile challenging, and the currently employed decoupled design methods might fail to guarantee closed-loop stability. Without explicit consideration of disturbances, it is also difficult for current de... View full abstract»

## Aims & Scope

The IEEE Control Systems Society publishes high-quality papers on technological advances in the design, realization, and operation of control systems.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Andrea Serrani
Department of Electrical and Computer Engineering
The Ohio State University
412 Dreese labs
2015 Neil Ave
Columbus, OH - USA
phone: 614 292 4976
email: serrani.1@osu.edu