1. A hybrid control design for stabilisation of nonlinear systems from the null controllable region*. Issue 4 (3rd April 2023) Authors: Mahmood, Maaz; Homer, Tyler; Mhaskar, Prashant Journal: International journal of control Issue: Volume 96:Issue 4(2023) Page Start: 1026 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A hybrid machine learning approach integrating recurrent neural networks with subspace identification for modelling HVAC systems. (16th March 2022) Authors: Hassanpour, Hesam; Mhaskar, Prashant; Risbeck, Michael J. Journal: Canadian journal of chemical engineering Issue: Volume 100:Number 12(2022) Page Start: 3620 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. A hybrid modeling approach integrating first-principles knowledge with statistical methods for fault detection in HVAC systems. (2nd November 2020) Authors: Hassanpour, Hesam; Mhaskar, Prashant; House, John M.; Salsbury, Timothy I. Journal: Computers & chemical engineering Issue: Volume 142(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. A trajectory‐based method for constructing null controllable regions. (12th November 2019) Authors: Homer, Tyler; Mahmood, Maaz; Mhaskar, Prashant Journal: International journal of robust and nonlinear control Issue: Volume 30:Number 2(2020) Page Start: 776 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Active fault isolation of nonlinear process systems. Issue 7 (25th February 2013) Authors: Du, Miao; Mhaskar, Prashant Journal: AIChE journal Issue: Volume 59:Issue 7(2013:Jul.) Page Start: 2435 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Actuator and sensor fault detection and isolation for nonlinear systems subject to uncertainty. (6th December 2017) Authors: Shahnazari, Hadi; Mhaskar, Prashant Journal: International journal of robust and nonlinear control Issue: Volume 28:Number 6(2018) Page Start: 1996 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Adaptive output‐feedback Lyapunov‐based model predictive control of nonlinear process systems. (30th October 2017) Authors: Das, Buddhadeva; Mhaskar, Prashant Journal: International journal of robust and nonlinear control Issue: Volume 28:Number 5(2018) Page Start: 1597 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Adaptive system identification of industrial ethylene splitter: A comparison of subspace identification and artificial neural networks. (April 2021) Authors: Jalanko, Mahir; Sanchez, Yoel; Mahalec, Vladimir; Mhaskar, Prashant Journal: Computers & chemical engineering Issue: Volume 147(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Closed‐loop dynamic real‐time optimization with stabilizing model predictive control. Issue 10 (12th June 2021) Authors: Ramesh, Praveen Sundaresan; Swartz, Christopher L. E.; Mhaskar, Prashant Journal: AIChE journal Issue: Volume 67:Issue 10(2021) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Constrained control Lyapunov function based model predictive control design. (31st August 2012) Authors: Mahmood, Maaz; Mhaskar, Prashant Journal: International journal of robust and nonlinear control Issue: Volume 24:Number 2(2014) Page Start: 374 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗