The Control Handbook
By W. Levine. 2010
1,126 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/53871fac03f7473f49f8616c099473c2e6506f8d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Min Wu
- Jinhua She
- Henrik Sandberg
- Carlos Olalla
- Nils Hoffmann
- Alvaro A. Cárdenas
- R. Sánchez-Peña
- Jairo Alonso Giraldo
In Mechanical Engineering
- R. Sánchez-Peña
- Carlos Olalla
- Jairo Alonso Giraldo
- Vicenç Puig
- John A. Bullinaria
- Ramon Leyva
- Alvaro A. Cárdenas
- Justin Ruths
Citations in the corpus
- Human–Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators (2015, background): “Control theory has offered several tools to design stable controllers with the ability to deal with unknown or poorly characterized interference [28].”
- Improving Disturbance-Rejection Performance Based on an Equivalent-Input-Disturbance Approach (2008, background): “Remark 2: Assumption 2 is necessary to guarantee the internal stability of a servo system and to allow the output of the plant to track a reference input without a steady-state error [13].”
- Robust LQR Control for PWM Converters: An LMI Approach (2009, methodology): “The classic LQR approach (see [7] and [8]) deals with the optimization of a cost function or performance index.”
- MIMO Smith predictor: Global and structured robust performance analysis (2009, methodology): “This approach has been used extensively since the time it was first proposed in [1], and is now an established and effective control scheme (see also a tutorial in [2]).”
- ON IDENTIFIABILITY OF NONLINEAR ODE MODELS AND APPLICATIONS IN VIRAL DYNAMICS (2011, methodology): “Before we introduce definitions of identifiability, we review three important and useful concepts developed in control theory: reachability, controllability, and observability [60, 111].”
- Finite Control Set Model Predictive Current Control for Grid-Connected Voltage-Source Converters With LCL Filters: A Study Based on Different State Feedbacks (2016, methodology): “By defining k as the current multiple of the sample time Ts(kTs ≡ t), the continuous state space formulation is equivalently discretized by calculating the matrix exponential eATs to obtain the discrete system matrix Ad [37]”
- A Survey of Physics-Based Attack Detection in Cyber-Physical Systems (2018, methodology): “It is possible to obtain the coefficients α i , by solving an optimization problem that minimizes the residuals (e.g., least squares) [62].”
- From biological models to the evolution of robot control systems (2003, background): “1992), though similar feedback-control systems can be applied quite generally (Levine 1996).”
- Model Predictive Direct Torque Control With Finite Control Set for PMSM Drive Systems, Part 1: Maximum Torque Per Ampere Operation (2013, background): “Thus, the further called practical bandwidth of the corresponding system can be approximated knowing the 10% to 90% rise time using [31]”