[1]

Mohammad Aali and Jun Liu. Multiple control barrier functions: An application to reactive obstacle avoidance for a multi-steering tractor-trailer system. In IEEE Conference on Decision and Control (CDC), to appear, 2022.

[2]

Milad Farsi and Jun Liu. Structured online learning for low-level control of quadrotors. In American Control Conference (ACC), pages 1242–1247, 2022. (doi:10.23919/ACC53348.2022.9867729)

[3]

Milad Farsi, Yinan Li, Ye Yuan, and Jun Liu. A piecewise learning framework for control of unknown nonlinear systems with stability guarantees. In Learning for Dynamics and Control (L4DC) Conference, pages 830–843, 2022. (PDF)

[4]

Maxwell Fitzsimmons and Jun Liu. A note on the equivalence of a strongly convex function and its induced contractive differential equation. Automatica, page 110349, 2022. (doi:10.1016/j.automatica.2022.110349)

[5]

Yinan Li and Jun Liu. Formal Methods for Control of Nonlinear Systems. CRC Press, 2022.

[6]

Yinan Li and Jun Liu. Robustly complete synthesis of sampled-data control for continuous-time nonlinear systems with reach-and-stay objectives. Nonlinear Analysis: Hybrid Systems, 44:101170, 2022. (doi:10.1016/j.nahs.2022.101170)

[7]

Yinan Li, Zhibing Sun, and Jun Liu. A specification-guided framework for temporal logic control of nonlinear systems. IEEE Transactions on Automatic Control, to appear, 2022. (doi:10.1109/TAC.2022.3168489)

[8]

Jun Liu. Converse barrier functions via Lyapunov functions. IEEE Transactions on Automatic Control, 67(1):497–503, 2022. (PDF) (doi:10.1109/TAC.2021.3085419)

[9]

Jun Liu and Ye Yuan. On almost sure convergence rates of stochastic gradient methods. In Conference on Learning Theory (COLT), pages 2963–2983, 2022. (PDF)

[10]

Yiming Meng and Jun Liu. Robustly complete finite-state abstractions for verification of stochastic systems. In Formal Modeling and Analysis of Timed Systems, pages 80–97, 2022. (doi:10.1007/978-3-031-15839-1_5)

[11]

Yiming Meng and Jun Liu. Sufficient conditions for robust probabilistic reach-avoid-stay specifications using stochastic Lyapunov-barrier functions. In American Control Conference (ACC), pages 2283–2288, 2022. (doi:10.23919/ACC53348.2022.9867253)

[12]

Yiming Meng, Yinan Li, Maxwell Fitzsimmons, and Jun Liu. Smooth converse Lyapunov-barrier theorems for asymptotic stability with safety constraints and reach-avoid-stay specifications. Automatica, 144:110478, 2022. (doi:10.1016/j.automatica.2022.110478)

[13]

Chuanzheng Wang, Yiming Meng, Stephen L Smith, and Jun Liu. Data-driven learning of safety-critical control with stochastic control barrier functions. In IEEE Conference on Decision and Control (CDC), to appear, 2022.

[14]

Ye Yuan, Jun Liu, and others. DeceFL: A principled fully decentralized federated learning framework. National Science Open, to appear, 2022.

[15]

He Zhang, Jun Liu, and Shengyuan Xu. Practical stability and event-triggered load frequency control of networked power systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(10):6296–6304, 2022. (doi:10.1109/TSMC.2022.3143853)

[16]

He Zhang, Jun Liu, Shengyuan Xu, and Zhengqiang Zhang. Practical stabilization of networked takagi–sugeno fuzzy systems via improved jensen inequalities. IEEE Transactions on Cybernetics, 52(6):4381–4390, 2022. (doi:10.1109/TCYB.2020.3026375)

[17]

Ye Zhao, Yinan Li, Luis Sentis, Ufuk Topcu, and Jun Liu. Reactive task and motion planning for robust whole-body dynamic locomotion in constrained environments. The International Journal of Robotics Research, 41(8):812–847, 2022. (doi:10.1177/02783649221077714)

[18]

Ruikun Zhou, Thanin Quartz, Hans De Sterck, and Jun Liu. Neural Lyapunov control of unknown nonlinear systems with stability guarantees. In Advances in Neural Information Processing Systems (NeurIPS), to appear, 2022.

[19]

Ruijuan Chen, Yinan Li, and Jun Liu. Computation of controlled invariant sets for discrete-time switched nonlinear systems with time-delay. Journal of the Franklin Institute, 358(14):7187–7202, 2021. (doi:10.1016/j.jfranklin.2021.07.004)

[20]

Milad Farsi and Jun Liu. A structured online learning approach to nonlinear tracking with unknown dynamics. In American Control Conference (ACC), pages 2205–2211. IEEE, 2021. (doi:10.23919/ACC50511.2021.9482670)

[21]

Yan He, Xi-Ming Sun, Jun Liu, and Yuhu Wu. Input-to-state stability analysis for homogeneous hybrid systems with bounded time-varying delays. International Journal of Control, 94(2):422–432, 2021. (doi:10.1080/00207179.2019.1597278)

[22]

Yinan Li and Jun Liu. Robustly complete synthesis of memoryless controllers for nonlinear systems with reach-and-stay specifications. IEEE Transactions on Automatic Control, 66(3):1199–1206, 2021. (PDF) (doi:10.1109/TAC.2020.2987711)

[23]

Yinan Li, Ebrahim Moradi Shahrivar, and Jun Liu. Safe linear temporal logic motion planning in dynamic environments. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 9818–9825. IEEE, 2021. (doi:10.1109/IROS51168.2021.9636433)

[24]

Yinan Li, Zhibing Sun, and Jun Liu. ROCS 2.0: An integrated temporal logic control synthesis tool for nonlinear dynamical systems. IFAC-PapersOnLine, 54(5):31–36, 2021. IFAC Conference on Analysis and Design of Hybrid Systems (ADHS). (doi:10.1016/j.ifacol.2021.08.470)

[25]

Jun Liu. Closing the gap between discrete abstractions and continuous control: Completeness via robustness and controllability. In Formal Modeling and Analysis of Timed Systems (FORMATS), pages 67–83. Springer, 2021. (PDF) (doi:10.1007/978-3-030-85037-1_5)

[26]

Jun Liu. On the convergence of reinforcement learning with Monte Carlo Exploring Starts. Automatica, 129:109693, 2021. (PDF) (doi:10.1016/j.automatica.2021.109693)

[27]

Kun-Zhi Liu, Xi-Ming Sun, Andrew R. Teel, and Jun Liu. Stability analysis for networked control systems with sampling, transmission protocols and input delays. Nonlinear Analysis: Hybrid Systems, 39:100974, 2021. (doi:/10.1016/j.nahs.2020.100974)

[28]

Kun-Zhi Liu, Xue-Fang Wang, Andrew R Teel, Xi-Ming Sun, and Jun Liu. A Matrosov theorem for hybrid systems with memory. IEEE Transactions on Automatic Control, 66(10):4918–4925, 2021. (doi:10.1109/TAC.2020.3042482)

[29]

Yan Liu, Jun Liu, and Wenxue Li. Stabilization of highly nonlinear stochastic coupled systems via periodically intermittent control. IEEE Transactions on Automatic Control, 66(10):4799–4806, 2021. (doi:10.1109/TAC.2020.3036035)

[30]

Yiming Meng, Yinan Li, and Jun Liu. Control of nonlinear systems with reach-avoid-stay specifications: A Lyapunov-barrier approach with an application to the Moore-Greizer model. In American Control Conference (ACC), pages 2284–2291. IEEE, 2021. (doi:10.23919/ACC50511.2021.9483376)

[31]

Pavithra Prabhakar and Jun Liu. Simulation relations for abstraction-based robust control of hybrid dynamical systems. IFAC-PapersOnLine, 54(5):115–120, 2021. IFAC Conference on Analysis and Design of Hybrid Systems (ADHS). (doi:10.1016/j.ifacol.2021.08.484)

[32]

Chuanzheng Wang, Yiming Meng, Yinan Li, Stephen L. Smith, and Jun Liu. Learning control barrier functions with high relative degree for safety-critical control. In European Control Conference (ECC), pages 1459–1464, 2021. (doi:10.23919/ECC54610.2021.9655206)

[33]

Chuanzheng Wang, Yiming Meng, Stephen L. Smith, and Jun Liu. Safety-critical control of stochastic systems using stochastic control barrier functions. In IEEE Conference on Decision and Control (CDC), pages 5924–5931, 2021. (PDF) (doi:10.1109/CDC45484.2021.9683349)

[34]

He Zhang and Jun Liu. Event-triggered fuzzy flight control of a two-degree-of-freedom helicopter system. IEEE Transactions on Fuzzy Systems, 29(10):2949–2962, 2021. (doi:10.1109/TFUZZ.2020.3009755)

[35]

Mengyao Zhang, Xinzhi Liu, and Jun Liu. Convergence analysis of a continuous-time distributed gradient descent algorithm. IEEE Control Systems Letters, 5(4):1339–1344, 2021. (doi:10.1109/LCSYS.2020.3037038)

[36]

Milad Farsi and Jun Liu. Nonlinear optimal feedback control and stability analysis of solar photovoltaic systems. IEEE Transactions on Control Systems Technology, 28(6):2104–2119, 2020. (doi:10.1109/TCST.2019.2929149)

[37]

Milad Farsi and Jun Liu. Structured online learning-based control of continuous-time nonlinear systems. IFAC-PapersOnLine, 53(2):8142–8149, 2020. IFAC World Congress. (doi:10.1016/j.ifacol.2020.12.2299)

[38]

Maxwell Fitzsimmons and Jun Liu. A necessary condition on chain reachable robustness of dynamical systems. IFAC-PapersOnLine, 53(2):1850–1855, 2020. IFAC World Congress. (doi:10.1016/j.ifacol.2020.12.2353)

[39]

Yan He, Xi-Ming Sun, Jun Liu, and Yuhu Wu. Stability analysis for homogeneous hybrid systems with delays. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(10):3554–3561, 2020. (doi:10.1109/TSMC.2018.2872045)

[40]

He Zhang, Jun Liu, and Shengyuan Xu. H-infinity load frequency control of networked power systems via an event-triggered scheme. IEEE Transactions on Industrial Electronics, 67(8):7104–7113, 2020. (doi:10.1109/TIE.2019.2939994)

[41]

Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, and Ye Yuan. pbSGD: Powered stochastic gradient descent methods for accelerated non-convex optimization. In International Joint Conference on Artificial Intelligence (IJCAI), pages 3258–3266, 2020. (PDF) (doi:10.24963/ijcai.2020/451)

[42]

M. Hadi Zibaeenejad and Jun Liu. Auditor product and controller synthesis for nondeterministic transition systems with practical ltl specifications. IEEE Transactions on Automatic Control, 65(10):4281–4287, 2020. (doi:10.1109/TAC.2019.2953452)

[43]

Ye Yuan, Mu Li, Jun Liu, and Claire Tomlin. On the powerball method: Variants of descent methods for accelerated optimization. IEEE Control Systems Letters, 3(3):601–606, 2019. (doi:10.1109/LCSYS.2019.2913770)

[44]

Yinan Li and Jun Liu. Invariance control synthesis for switched nonlinear systems: An interval analysis approach. IEEE Transactions on Automatic Control, 63(7):2206–2211, 2018. (PDF) (doi:10.1109/TAC.2017.2760106)

[45]

Yinan Li and Jun Liu. Robustly complete reach-and-stay control synthesis for switched systems via interval analysis. In American Control Conference (ACC), pages 2350–2355. IEEE, 2018. (doi:10.23919/ACC.2018.8431863)

[46]

Yinan Li and Jun Liu. ROCS: A robustly complete control synthesis tool for nonlinear dynamical systems. In ACM International Conference on Hybrid Systems: Computation and Control (HSCC), pages 130–135, 2018. (PDF) (doi:10.1145/3178126.3178153)

[47]

Jun Liu and Andrew R. Teel. Hybrid systems with memory: Existence and well-posedness of generalized solutions. SIAM Journal on Control and Optimization, 56(2):1011–1037, 2018. (doi:10.1137/140981708)

[48]

Pavithra Prabhakar, Jun Liu, and Richard M. Murray. Simulations and bisimulations for analysis of stability with respect to inputs of hybrid systems. Discrete Event Dynamic Systems, 28(3):349–374, 2018. (doi:10.1007/s10626-017-0262-9)

[49]

Jun Liu. Robust abstractions for control synthesis: Completeness via robustness for linear-time properties. In ACM International Conference on Hybrid Systems: Computation and Control (HSCC), 2017. (PDF) (doi:10.1145/3049797.3049826)

[50]

Felipe J. Montana, Jun Liu, and Tony J. Dodd. Sampling-based path planning for multi-robot systems with co-safe linear temporal logic specifications. In Critical Systems: Formal Methods and Automated Verification, pages 150–164. Springer, 2017. (doi:10.1007/978-3-319-67113-0_10)

[51]

Felipe J. Montana, Jun Liu, and Tony J. Dodd. Sampling-based reactive motion planning with temporal logic constraints and imperfect state information. In Critical Systems: Formal Methods and Automated Verification, pages 134–149. Springer, 2017. (doi:10.1007/978-3-319-67113-0_9)

[52]

Petter Nilsson, Necmiye Ozay, and Jun Liu. Augmented finite transition systems as abstractions for control synthesis. Discrete Event Dynamic Systems, 27(2):301–340, 2017. (doi:10.1007/s10626-017-0243-z)

[53]

Pablo Ordónez, Andrew R. Mills, Tony Dodd, and Jun Liu. Formal verification of a gain scheduling control scheme. In Mediterranean Conference on Control and Automation (MED), 2017. (doi:10.1109/MED.2017.7984128)

[54]

Yinan Li and Jun Liu. Computing maximal invariant sets for switched nonlinear systems. In IEEE Multi-Conference on Systems and Control (MSC), 2016. (doi:10.1109/CACSD.2016.7602547)

[55]

Yinan Li and Jun Liu. An interval analysis approach to invariance control synthesis for discrete-time switched systems. In IEEE Conference on Decision and Control (CDC), 2016. (doi:10.1109/CDC.2016.7799252)

[56]

Jun Liu and Necmiye Ozay. Finite abstractions with robustness margins for temporal logic-based control synthesis. Nonlinear Analysis: Hybrid Systems, 22:1–15, 2016. (doi:10.1016/j.nahs.2016.02.002)

[57]

Jun Liu and Andrew R. Teel. Hybrid dynamical systems with finite memory. In Recent Results on Nonlinear Delay Control Systems, pages 261–273. Springer, 2016. (doi:10.1007/978-3-319-18072-4_13)

[58]

Jun Liu and Andrew R. Teel. Invariance principles for hybrid systems with memory. Nonlinear Analysis: Hybrid Systems, 21:130–138, 2016. (doi:10.1016/j.nahs.2015.08.003)

[59]

Jun Liu and Andrew R. Teel. Lyapunov-based sufficient conditions for stability of hybrid systems with memory. IEEE Transactions on Automatic Control, 61(4):1057–1062, 2016. (doi:10.1109/TAC.2015.2460031)

[60]

Kun-Zhi Liu, Xi-Ming Sun, Jun Liu, and Andrew R. Teel. Stability theorems for delay differential inclusions. IEEE Transactions on Automatic Control, 61:3215–3220, 2016. (doi:10.1109/TAC.2015.2507782)

[61]

Felipe J. Montana, Jun Liu, and Tony J. Dodd. Sampling-based stochastic optimal control with metric interval temporal logic specifications. In IEEE Multi-Conference on Systems and Control (MSC), 2016. (doi:10.1109/CCA.2016.7587911)

[62]

Pavithra Prabhakar and Jun Liu. Bisimulations for input-output stability of hybrid systems. In IEEE Conference on Decision and Control (CDC), 2016. (doi:10.1109/CDC.2016.7799116)

[63]

Erick Noe Amezquita Lucio, Jun Liu, and Tony J. Dodd. An interactive approach to monocular SLAM. In Towards Autonomous Robotic Systems (TAROS). Springer, 2015. (doi:10.1007/978-3-319-22416-9_3)

[64]

Yinan Li and Jun Liu. Switching control of differential-algebraic equations with temporal logic specifications. In American Control Conference (ACC), 2015. (doi:10.1109/ACC.2015.7171017)

[65]

Yinan Li, Jun Liu, and Necmiye Ozay. Computing finite abstractions with robustness margins via local reachable set over-approximation. IFAC-PapersOnLine, 48(27):1–6, 2015. IFAC Conference on Analysis and Design of Hybrid Systems (ADHS). (doi:10.1016/j.ifacol.2015.11.144)

[66]

Kun-Zhi Liu, Xi-Ming Sun, Wei Wang, and Jun Liu. Invariance principles for delay differential inclusions. In Chinese Control and Decision Conference (CCDC), 2015. (doi:10.1109/CCDC.2015.7161681)

[67]

Jun Liu and Necmiye Ozay. Abstraction, discretization, and robustness in temporal logic control of dynamical systems. In ACM International Conference on Hybrid Systems: Computation and Control (HSCC), 2014. (PDF) (doi:10.1145/2562059.2562137)

[68]

Jun Liu and Pavithra Prabhakar. Switching control of dynamical systems from metric temporal logic specifications. In IEEE International Conference on Robotics and Automation (ICRA), 2014. (doi:10.1109/ICRA.2014.6907643)

[69]

Jun Liu and Andrew R. Teel. Hybrid systems with memory: Modelling and stability analysis via generalized solutions. IFAC Proceedings Volumes, 47(3):6019–6024, 2014. IFAC World Congress. (doi:10.3182/20140824-6-ZA-1003.02085)

[70]

Arun Chakrapani Rao and Jun Liu. Advances in addressing challenges in complex control systems design. IFAC Proceedings Volumes, 47(1):955–958, 2014. International Conference on Advances in Control and Optimization of Dynamical Systems (ACODS). (doi:10.3182/20140313-3-IN-3024.00138)

[71]

Fei Sun, Necmiye Ozay, Eric M. Wolff, Jun Liu, and Richard M. Murray. Efficient control synthesis for augmented finite transition systems with an application to switching protocols. In American Control Conference (ACC), 2014. (doi:10.1109/ACC.2014.6859428)

[72]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Stability of uncertain switched distributed parameter systems with multiple time-varying delays. Nonlinear Studies, 20(2):173–193, 2013.

[73]

Jun Liu, Necmiye Ozay, Ufuk Topcu, and Richard M. Murray. Synthesis of reactive switching protocols from temporal logic specifications. IEEE Transactions on Automatic Control, 58(7):1771–1785, 2013. (PDF) (doi:10.1109/TAC.2013.2246095)

[74]

Jun Liu, Hongtao Zhang, Xinzhi Liu, and Wei-Chau Xie. Distributed stochastic consensus of multi-agent systems with noisy and delayed measurements. IET Control Theory & Applications, 7(10):1359–1369, 2013. (doi:10.1049/iet-cta.2012.0613)

[75]

Necmiye Ozay, Jun Liu, Pavithra Prabhakar, and Richard M. Murray. Computing augmented finite transition systems to synthesize switching protocols for polynomial switched systems. In American Control Conference (ACC), 2013. (doi:10.1109/ACC.2013.6580816)

[76]

Pavithra Prabhakar, Jun Liu, and Richard M. Murray. Pre-orders for reasoning about stability properties with respect to input of hybrid systems. In ACM International Conference on Embedded Software (EMSOFT), 2013. (doi:10.1109/EMSOFT.2013.6658602)

[77]

Hongtao Zhang, Xinzhi Liu, Xuemin Shen, and Jun Liu. Chaos entanglement: a new approach to generate chaos. International Journal of Bifurcation and Chaos, 23:1330014 (17 pages), 2013. (doi:10.1142/S0218127413300140)

[78]

Hongtao Zhang, Xinzhi Liu, Xuemin Shen, and Jun Liu. Intermittent impulsive synchronization of hyperchaos with application to secure communication. Asian Journal of Control, 15:1686–1699, 2013. (doi:10.1002/asjc.728)

[79]

Jun Liu. On asymptotic convergence and boundedness of stochastic systems with time-delay. Automatica, 48:3166–3172, 2012. (PDF) (doi:10.1016/j.automatica.2012.08.041)

[80]

Jun Liu and Andrew R. Teel. Generalized solutions to hybrid systems with delays. In IEEE Conference on Decision and Control (CDC), 2012. (doi:10.1109/CDC.2012.6425940)

[81]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Class-KL estimates and input-to-state stability analysis of impulsive switched systems. Systems & Control Letters, 61(6):738–746, 2012. (PDF) (doi:10.1016/j.sysconle.2012.03.007)

[82]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Global convergence of neural networks with mixed time-varying delays and discontinuous neuron activations. Information Sciences, 183(1):92–105, 2012. (doi:10.1016/j.ins.2011.08.021)

[83]

Jun Liu, Necmiye Ozay, Ufuk Topcu, and Richard M. Murray. Switching protocol synthesis for temporal logic specifications. In American Control Conference (ACC), 2012. (doi:10.1109/ACC.2012.6315040)

[84]

Jun Liu, Ufuk Topcu, Necmiye Ozay, and Richard M. Murray. Reactive controllers for differentially flat systems with temporal logic constraints. In IEEE Conference on Decision and Control (CDC), 2012. (doi:10.1109/CDC.2012.6425981)

[85]

Ufuk Topcu, Necmiye Ozay, Jun Liu, and Richard M. Murray. On synthesizing robust discrete controllers under modeling uncertainty. In ACM International Conference on Hybrid Systems: Computation and Control (HSCC), 2012. (doi:10.1145/2185632.2185648)

[86]

Ye Yuan, Jun Liu, Richard M. Murray, and Jorge Gonçalves. Decentralised minimal-time dynamic consensus. In American Control Conference (ACC), 2012. (doi:10.1109/ACC.2012.6315298)

[87]

Hongtao Zhang, Xinzhi Liu, Xuemin Shen, and Jun Liu. A family of novel chaotic and hyperchaotic attractors from delay differential equation. Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, 19:411–430, 2012.

[88]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Generalized invariance principles for switched delay systems. IMA Journal of Mathematical Control and Information, 28(1):19–39, 2011. (doi:10.1093/imamci/dnq022)

[89]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Impulsive stabilization of stochastic functional differential equations. Applied Mathematics Letters, 24(3):264–269, 2011. (doi:10.1016/j.aml.2010.10.001)

[90]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Input-to-state stability of impulsive and switching hybrid systems with time-delay. Automatica, 47(5):899–908, 2011. (PDF) (doi:10.1016/j.automatica.2011.01.061)

[91]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Stability and stabilization of impulsive and switched hybrid stochastic delay systems. Journal of Nonlinear Sciences and Applications, 4:315–341, 2011.

[92]

Jun Liu, Xinzhi Liu, Wei-Chau Xie, and Hongtao Zhang. Stochastic consensus seeking with communication delays. Automatica, 47(12):2689–2696, 2011. (doi:10.1016/j.automatica.2011.09.005)

[93]

Jun Liu. Qualitative Studies of Nonlinear Hybrid Systems. PhD thesis, University of Waterloo, 2010.

[94]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Existence and uniqueness results for impulsive hybrid stochastic delay systems. Communications on Applied Nonlinear Analysis, 17:37–54, 2010. (PDF)

[95]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Extending lasalle's invariance principle to impulsive switched systems with an application to hybrid epidemic dynamics. In Chinese Control and Decision Conference (CCDC), 2010. (doi:10.1109/CCDC.2010.5499107)

[96]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. On the (h0, h)-stabilization of switched nonlinear systems via state-dependent switching rule. Applied Mathematics and Computation, 217(5):2067–2083, 2010. (doi:10.1016/j.amc.2010.07.007)

[97]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Exponential stability of switched stochastic delay systems with non-linear uncertainties. International Journal of Systems Science, 40(6):637–648, 2009. (doi:10.1080/00207720902755770)

[98]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Invariance principles for impulsive switched systems. Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, 16:631–654, 2009. (PDF)

[99]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Robust stabilization of stochastic switched delay systems via state-dependent switching rule. Dynamic Systems and Applications, 18:213–240, 2009.

[100]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Uniform stability of switched nonlinear systems. Nonlinear Analysis: Hybrid Systems, 3(4):441–454, 2009. (doi:10.1016/j.nahs.2009.03.001)

[101]

Jun Liu, Xinzhi Liu, and Wei-Chau Xie. Delay-dependent robust control for uncertain switched systems with time-delay. Nonlinear Analysis: Hybrid Systems, 2(1):81–95, 2008. (doi:10.1016/j.nahs.2007.04.001)